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Voice-Based App
AI Tool Cyber Fraud Scammers User Security Voice-Based App

Meet Daisy, the AI Grandmother Designed to Outwit Scammers

 

The voice-based AI, known as Daisy or "dAIsy," impersonates a senior citizen to engage in meandering conversation with phone scammers.

Despite its flaws, such as urging people to eat deadly mushrooms, AI can sometimes be utilised for good. O2, the UK's largest mobile network operator, has implemented a voice-based AI chatbot to trick phone scammers into long, useless talks. Daisy, often known as "dAIsy," is a chatbot that mimics the voice of an elderly person, the most typical target for phone scammers. 

Daisy's goal is to automate "scambaiting," which is the technique of deliberately wasting phone fraudsters' time in order to keep them away from potential real victims for as long as possible. Scammers employ social engineering to abuse the elderly's naivety, convincing them, for example, that they owe back taxes and would be arrested if they fail to make payments immediately.

When a fraudster gets Daisy on the phone, they're in for a long chat that won't lead anywhere. If they get to the point when the fraudster requests private data, such as bank account information, Daisy will fabricate it. O2 claims that it is able to contact fraudsters in the first place by adding Daisy's phone number to "easy target" lists that scammers use for leads. 

Of course, the risk with a chatbot like Daisy is that the same technology can be used for opposite ends—we've already seen cases where real people, such as CEOs of major companies, had their voices deepfaked in order to deceive others into giving money to a fraudster. Senior citizens are already exposed enough. If they receive a call from someone who sounds like a grandchild, they will very certainly believe it is genuine.

Finally, preventing fraudulent calls and shutting down the groups orchestrating these frauds would be the best answer. Carriers have enhanced their ability to detect and block scammers' phone numbers, but it remains a cat-and-mouse game. Scammers use automated dialling systems, which allow them to phone numbers quickly and only alert them when they receive an answer. An AI bot that frustrates fraudsters by responding and wasting their time is preferable to nothing.
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Spyware
AI Tool ChatGPT ChatGPT Vulnerabilities ChatGPT. OpenAI Data Breach Data Hackers Data Safety User Data Data Theft OpenAI Spyware

ChatGPT Vulnerability Exploited: Hacker Demonstrates Data Theft via ‘SpAIware

 

A recent cyber vulnerability in ChatGPT’s long-term memory feature was exposed, showing how hackers could use this AI tool to steal user data. Security researcher Johann Rehberger demonstrated this issue through a concept he named “SpAIware,” which exploited a weakness in ChatGPT’s macOS app, allowing it to act as spyware. ChatGPT initially only stored memory within an active conversation session, resetting once the chat ended. This limited the potential for hackers to exploit data, as the information wasn’t saved long-term. 

However, earlier this year, OpenAI introduced a new feature allowing ChatGPT to retain memory between different conversations. This update, meant to personalize the user experience, also created an unexpected opportunity for cybercriminals to manipulate the chatbot’s memory retention. Rehberger identified that through prompt injection, hackers could insert malicious commands into ChatGPT’s memory. This allowed the chatbot to continuously send a user’s conversation history to a remote server, even across different sessions. 

Once a hacker successfully inserted this prompt into ChatGPT’s long-term memory, the user’s data would be collected each time they interacted with the AI tool. This makes the attack particularly dangerous, as most users wouldn’t notice anything suspicious while their information is being stolen in the background. What makes this attack even more alarming is that the hacker doesn’t require direct access to a user’s device to initiate the injection. The payload could be embedded within a website or image, and all it would take is for the user to interact with this media and prompt ChatGPT to engage with it. 

For instance, if a user asked ChatGPT to scan a malicious website, the hidden command would be stored in ChatGPT’s memory, enabling the hacker to exfiltrate data whenever the AI was used in the future. Interestingly, this exploit appears to be limited to the macOS app, and it doesn’t work on ChatGPT’s web version. When Rehberger first reported his discovery, OpenAI dismissed the issue as a “safety” concern rather than a security threat. However, once he built a proof-of-concept demonstrating the vulnerability, OpenAI took action, issuing a partial fix. This update prevents ChatGPT from sending data to remote servers, which mitigates some of the risks. 

However, the bot still accepts prompts from untrusted sources, meaning hackers can still manipulate the AI’s long-term memory. The implications of this exploit are significant, especially for users who rely on ChatGPT for handling sensitive data or important business tasks. It’s crucial that users remain vigilant and cautious, as these prompt injections could lead to severe privacy breaches. For example, any saved conversations containing confidential information could be accessed by cybercriminals, potentially resulting in financial loss, identity theft, or data leaks. To protect against such vulnerabilities, users should regularly review ChatGPT’s memory settings, checking for any unfamiliar entries or prompts. 

As demonstrated in Rehberger’s video, users can manually delete suspicious entries, ensuring that the AI’s long-term memory doesn’t retain harmful data. Additionally, it’s essential to be cautious about the sources from which they ask ChatGPT to retrieve information, avoiding untrusted websites or files that could contain hidden commands. While OpenAI is expected to continue addressing these security issues, this incident serves as a reminder that even advanced AI tools like ChatGPT are not immune to cyber threats. As AI technology continues to evolve, so do the tactics used by hackers to exploit these systems. Staying informed, vigilant, and cautious while using AI tools is key to minimizing potential risks.
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threat report
AI Tool Artificial Intelligence AsyncRAT Generative AI malware threat report

AI-Generated Malware Discovered in the Wild

 

Researchers found malicious code that they suspect was developed with the aid of generative artificial intelligence services to deploy the AsyncRAT malware in an email campaign that was directed towards French users. 

While threat actors have employed generative AI technology to design convincing emails, government agencies have cautioned regarding the potential exploit of AI tools to create malicious software, despite the precautions and restrictions that vendors implemented. 

Suspected cases of AI-created malware have been spotted in real attacks. The malicious PowerShell script that was uncovered earlier this year by cybersecurity firm Proofpoint was most likely generated by an AI system. 

As less technical threat actors depend more on AI to develop malware, HP security experts discovered a malicious campaign in early June that employed code commented in the same manner a generative AI system would. 

The VBScript established persistence on the compromised PC by generating scheduled activities and writing new keys to the Windows Registry. The researchers add that some of the indicators pointing to AI-generated malicious code include the framework of the scripts, the comments that explain each line, and the use of native language for function names and variables. 

AsyncRAT, an open-source, publicly available malware that can record keystrokes on the victim device and establish an encrypted connection for remote monitoring and control, is later downloaded and executed by the attacker. The malware can also deliver additional payloads. 

The HP Wolf Security research also states that, in terms of visibility, archives were the most popular delivery option in the first half of the year. Lower-level threat actors can use generative AI to create malware in minutes and customise it for assaults targeting different areas and platforms (Linux, macOS). 

Even if they do not use AI to create fully functional malware, hackers rely on it to accelerate their labour while developing sophisticated threats.
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OpenAI
AGI AI technology AI Tool Cyber Security Generative AI generative AI tools OpenAI

Project Strawberry: Advancing AI with Q-learning, A* Algorithms, and Dual-Process Theory

Project Strawberry, initially known as Q*, has quickly become a focal point of excitement and discussion within the AI community. The project aims to revolutionize artificial intelligence by enhancing its self-learning and reasoning capabilities, crucial steps toward achieving Artificial General Intelligence (AGI). By incorporating advanced algorithms and theories, Project Strawberry pushes the boundaries of what AI can accomplish, making it a topic of intense interest and speculation. 

At the core of Project Strawberry are several foundational algorithms that enable AI systems to learn and make decisions more effectively. The project utilizes Q-learning, a reinforcement learning technique that allows AI to determine optimal actions through trial and error, helping it navigate complex environments. Alongside this, the A* search algorithm provides efficient pathfinding capabilities, ensuring AI can find the best solutions to problems quickly and accurately. 

Additionally, the dual-process theory, inspired by human cognitive processes, is used to balance quick, intuitive judgments with thorough, deliberate analysis, enhancing decision-making abilities. Despite the project’s promising advancements, it also raises several concerns. One of the most significant risks involves encryption cracking, where advanced AI could potentially break encryption codes, posing a severe security threat. 

Furthermore, the issue of “AI hallucinations”—errors in AI outputs—remains a critical challenge that needs to be addressed to ensure accurate and trustworthy AI responses. Another concern is the high computational demands of Project Strawberry, which may lead to increased costs and energy consumption. Efficient resource management and optimization will be crucial to maintaining the project’s scalability and sustainability. The ultimate goal of Project Strawberry is to pave the way for AGI, where AI systems can perform any intellectual task a human can. 

Achieving AGI would revolutionize problem-solving across various fields, enabling AI to tackle long-term and complex challenges with advanced reasoning capabilities. OpenAI envisions developing “reasoners” that exhibit human-like intelligence, pushing the frontiers of AI research even further. While Project Strawberry represents a significant step forward in AI development, it also presents complex challenges that must be carefully navigated. 

The project’s potential has fueled widespread excitement and anticipation within the AI community, with many eagerly awaiting further updates and breakthroughs. As OpenAI continues to refine and develop Project Strawberry, it could set the stage for a new era in AI, bringing both remarkable possibilities and significant responsibilities.
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undergraduate psychology degree
AI in assessments AI Tool AI-generated essays ChatGPT educational integrity Technology undergraduate psychology degree

AI-Generated Exam Answers Outperform Real Students, Study Finds

 

In a recent study, university exams taken by fictitious students using artificial intelligence (AI) outperformed those by real students and often went undetected by examiners. Researchers at the University of Reading created 33 fake students and employed the AI tool ChatGPT to generate answers for undergraduate psychology degree module exams.

The AI-generated responses scored, on average, half a grade higher than those of actual students. Remarkably, 94% of the AI essays did not raise any suspicion among markers, with only a 6% detection rate, which the study suggests is likely an overestimate. These findings, published in the journal Plos One, highlight a significant concern: "AI submissions robustly gained higher grades than real student submissions," indicating that students could use AI to cheat undetected and achieve better grades than their honest peers.

Associate Professor Peter Scarfe and Professor Etienne Roesch, who led the study, emphasized the need for educators globally to take note of these findings. Dr. Scarfe noted, "Many institutions have moved away from traditional exams to make assessment more inclusive. Our research shows it is of international importance to understand how AI will affect the integrity of educational assessments. We won’t necessarily go back fully to handwritten exams - but the global education sector will need to evolve in the face of AI."

In the study, the AI-generated answers and essays were submitted for first-, second-, and third-year modules without the knowledge of the markers. The AI students outperformed real undergraduates in the first two years, but in the third-year exams, human students scored better. This result aligns with the idea that current AI struggles with more abstract reasoning. The study is noted as the largest and most robust blind study of its kind to date.

Academics have expressed concerns about the impact of AI on education. For instance, Glasgow University recently reinstated in-person exams for one course. Additionally, a study reported by the Guardian earlier this year found that most undergraduates used AI programs to assist with their essays, but only 5% admitted to submitting unedited AI-generated text in their assessments.
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Technology
AI technology AI Tool ChatGPT ChatGPT-4 Medical Sector Patient Data Technology

Harnessing AI and ChatGPT for Eye Care Triage: Advancements in Patient Management

 

In a groundbreaking study conducted by Dr. Arun Thirunavukarasu, a former University of Cambridge researcher, artificial intelligence (AI) emerges as a promising tool for triaging patients with eye issues. Dr. Thirunavukarasu's research highlights the potential of AI to revolutionize patient management in ophthalmology, particularly in identifying urgent cases that require immediate specialist attention. 

The study, conducted in collaboration with Cambridge University academics, evaluated the performance of ChatGPT 4, an advanced language model, in comparison to expert ophthalmologists and medical trainees. Remarkably, ChatGPT 4 exhibited a scoring accuracy of 69% in a simulated exam setting, outperforming previous iterations of the program and rival language models such as ChatGPT 3.5, Llama, and Palm2. 

Utilizing a vast dataset comprising 374 ophthalmology questions, ChatGPT 4 demonstrated its capability to analyze complex eye symptoms and signs, providing accurate recommendations for patient triage. When compared to expert clinicians, trainees, and junior doctors, ChatGPT 4 proved to be on par with experienced ophthalmologists in processing clinical information and making informed decisions. 

Dr. Thirunavukarasu emphasizes the transformative potential of AI in streamlining patient care pathways. He envisions AI algorithms assisting healthcare professionals in prioritizing patient cases, distinguishing between emergencies requiring immediate specialist intervention and those suitable for primary care or non-urgent follow-up. 

By leveraging AI-driven triage systems, healthcare providers can optimize resource allocation and ensure timely access to specialist services for patients in need. Furthermore, the integration of AI technologies in primary care settings holds promise for enhancing diagnostic accuracy and expediting treatment referrals. ChatGPT 4 and similar language models could serve as invaluable decision support tools for general practitioners, offering timely guidance on eye-related concerns and facilitating prompt referrals to specialist ophthalmologists. 

Despite the remarkable advancements in AI-driven healthcare, Dr. Thirunavukarasu underscores the indispensable role of human clinicians in patient care. While AI technologies offer invaluable assistance and decision support, they complement rather than replace the expertise and empathy of healthcare professionals. Dr. Thirunavukarasu reaffirms the central role of doctors in overseeing patient management and emphasizes the collaborative potential of AI-human partnerships in delivering high-quality care. 

As the field of AI continues to evolve, propelled by innovative research and technological advancements, the integration of AI-driven triage systems in clinical practice holds immense promise for enhancing patient outcomes and optimizing healthcare delivery in ophthalmology and beyond. Dr. Thirunavukarasu's pioneering work exemplifies the transformative impact of AI in revolutionizing patient care pathways and underscores the imperative of embracing AI-enabled solutions to address the evolving needs of healthcare delivery.
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Technology
AI Tool Chicago Generative AI Nightshade Poison Pill App Technology

AI Poison Pill App Nightshade Received 250K Downloads in Five Days

 

Shortly after its January release, the AI copyright infringement tool Nightshade exceeded the expectations of its developers at the University of Chicago's computer science department, with 250,000 downloads. With Nightshade, artists can avert AI models from using their artwork for training purposes without acquiring permission.

The Bureau of Labour Statistics reports that more than 2.67 million artists work in the United States, but social media response indicates that downloads have taken place across the globe. According to one of the coders, cloud mirror links were established in order to prevent overloading the University of Chicago's web servers.

The project's leader, Ben Zhao, a computer science professor at the University of Chicago, told VentureBeat that "the response is simply beyond anything we imagined.” 

"Nightshade seeks to 'poison' generative AI image models by altering artworks posted to the web, or 'shading' them on a pixel level, so that they appear to a machine learning algorithm to contain entirely different content — a purse instead of a cow," the researchers explained. After training on multiple "shaded" photos taken from the web, the goal is for AI models to generate erroneous images based on human input. 

Zhao, along with colleagues Shawn Shan, Wenxin Ding, Josephine Passananti, and Heather Zheng, "developed and released the tool to 'increase the cost of training on unlicensed data, such that licencing images from their creators becomes a viable alternative,'" VentureBeat reports, citing the Nightshade project page. 

Opt-out requests, which purport to stop unauthorised scraping, are reportedly made by the AI companies themselves; however, TechCrunch notes that "those motivated by profit over privacy can easily disregard such measures." 

Zhao and his colleagues do not intend to dismantle Big AI, but they do want to make sure that tech giants pay for licenced work—a requirement that applies to any business operating in the open—or else they risk legal repercussions. According to Zhao, the fact that AI businesses have web-crawling spiders that algorithmically collect data in an often undetectable manner has basically turned into a permit to steal.

Nightshade shows that these models are vulnerable and there are ways to attack, Zhao said. He went on to say that what it implies is that there are methods for content creators to provide harder returns than writing Congress or complaining via email or social media. 

Glaze, one of the team's apps that guards against AI infringement, has reportedly been downloaded 2.2 million times since its April 2023 release, according to VentureBeat. By changing pixels, glaze makes it more difficult for AI to "learn" from an artist's distinctive style.
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Technology
AI technology AI Tool Davos Open AI Technology

Google DeepMind Cofounder Claims AI Can Play Dual Role in Next Five Years

 

Mustafa Suleyman, cofounder of DeepMind, Google's AI group, believes that AI will be able to start and run its own firm within the next five years.

During a discussion on AI at the 2024 World Economic Forum, the now-CEO of Inflection AI was asked how long it will take AI to pass a Turing test-style exam. Passing would suggest that the technology has advanced to human-like capabilities known as AGI, or artificial general intelligence. 

In response, Suleyman stated that the modern version of the Turing test would be to determine whether an AI could operate as an entrepreneur, mini-project manager, and creator capable of marketing, manufacturing, and selling a product for profit. 

He seems to expect that AI will be able to demonstrate those business-savvy qualities before 2030—and inexpensively.

"I'm pretty sure that within the next five years, certainly before the end of the decade, we are going to have not just those capabilities, but those capabilities widely available for very cheap, potentially even in open source," Suleyman stated in Davos, Switzerland. "I think that completely changes the economy.”

The AI leader's views are just one of several forecasts Suleyman has made concerning AI's societal influence as technologies like OpenAI's ChatGPT gain popularity. Suleyman told CNBC at Davos last week that AI will eventually be a "fundamentally labor-replacing" instrument.

In a separate interview with CNBC in September, he projected that within the next five years, everyone will have AI assistants that will enhance productivity and "intimately know your personal information.” "It will be able to reason over your day, help you prioritise your time, help you invent, be much more creative," Suleyman stated. 

Still, he stated on the 2024 Davos panel that the term "intelligence" in reference to AI remains a "pretty unclear, hazy concept." He calls the term a "distraction.” 

Instead, he argues that researchers should concentrate on AI's real-world capabilities, such as whether an AI agent can communicate with humans, plan, schedule, and organise.

People should move away from the "engineering research-led exciting definition that we've used for 20 years to excite the field" and "actually now focus on what these things can do," Suleyman advised.
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Technology
AI Tool Creative Sphere Generative AI Machine learning Technology

Transforming the Creative Sphere With Generative AI

 

Generative AI, a trailblazing branch of artificial intelligence, is transforming the creative landscape and opening up new avenues for businesses worldwide. This article delves into how generative AI transforms creative work, including its benefits, obstacles, and tactics for incorporating this technology into your brand's workflow. 

 Power of generative AI

Generative AI uses advanced machine learning algorithms and natural language processing models to generate material and imagery that resembles human expressions. While others doubt its potential to recreate the full range of human creativity, Generative AI has indisputably transformed many parts of the creative process.

Generative AI systems, such as GPT-4, excel at producing human-like writing, making them critical for content creation in marketing and communication applications. Brands can use this technology to: 

  • Create highly personalised and persuasive content. 
  • Increase efficiency by automating the creation of repetitive material like descriptions of goods and customer communications. 
  • Provide a personalised user experience to increase user engagement and conversion rates.
  • Stand out in competitive marketplaces by creating distinctive and interesting content with AI. 

Challenges and ethical considerations 

Despite its potential, integrating Generative AI into the creative sector results in significant ethical concerns: 

Bias in AI: AI systems may unintentionally perpetuate biases in training data. Brands must actively address this issue by curating training data, reviewing AI outputs for bias, and applying fairness and bias mitigation strategies.

Transparency and Explainability: AI algorithms can be complex, making it difficult for consumers to comprehend how decisions are made. Brands should prioritise transparency by offering explicit explanations for AI-powered methods. 

Data Privacy: Generative AI is based on data, and misusing user data can result in privacy breaches. Brands must follow data protection standards, gain informed consent, and implement strong security measures. 

Future of generative AI in creativity

As Generative AI evolves, the future promises exciting potential for further transforming the creative sphere: 

Artistic Collaboration: Artists may work more closely with AI systems to create hybrid works that combine human and AI innovation. 

Personalised Art Experiences: Generative AI will provide highly personalised art experiences by dynamically altering artworks to individual preferences and feelings. 

AI in Art Education: Artificial intelligence (AI) will play an important role in art education by providing tools and resources to help students express their creativity. 

Ethical AI in Art: The art sector will place a greater emphasis on ethical AI practices, including legislation and guidelines to ensure responsible AI use.

The future of Generative AI in creativity is full of possibilities, including breaking down barriers, encouraging new forms of artistic expression, and developing a global community of artists and innovators. As this journey progresses, "Generative AI revolutionising art" will be synonymous with innovation, creativity, and endless possibilities.
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Telecommunication
AI Tool BharatGPT ChatGPT Technology Telecommunication

Three Ways Jio's BharatGPT Will Give It an Edge Over ChatGPT

 

In an era where artificial intelligence (AI) is transforming industries worldwide, India's own Reliance Jio is rising to the challenge with the launch of BharatGPT. BharatGPT, a visionary leap into the future of AI, is likely to be a game changer. Furthermore, it will enhance how technology connects with the diverse and dynamic Indian landscape. 

Reliance Jio and IIT Bombay's partnership to introduce BharatGPT appears to be an ambitious initiative to use AI technology to enhance Jio's telecom services. Bharat GPT could offer a more user-friendly and accessible interface by being voice and gesture-activated, making it easier to operate and navigate Jio's services. 

Its emphasis on enhancing user experience and minimising the need for human intervention suggests that automation and efficiency are important, which could result in more personalised and responsive services. This project is in line with the expanding trend of using AI in telecoms to raise customer satisfaction and service quality. 

Jio's BharatGPT has a significant advantage over ChatGPT. Here's a more extensive look at these potential differentiators:

Improved localization and language support

Multilingual features: India is a linguistic mosaic, with hundreds of languages and dialects spoken across the nation. BharatGPT could distinguish itself by providing support for a variety of Indian languages. It also supports Hindi, Bengali, Tamil, Telugu, Punjabi, Marathi, Gujarati, and other languages. This multilingual option would make it far more accessible and valuable to people who want to speak in their own language. 

Cultural details: Understanding the cultural diversity of India is critical for AI to give contextually relevant solutions. BharatGPT could invest in a thorough cultural awareness. Furthermore, this enables it to produce both linguistically accurate and culturally sensitive responses. This could include recognising local idioms and comprehending the significance of festivals. It also integrates historical and regional references and adheres to social conventions unique to India's many regions. 

Regional dialects: India's linguistic variety includes several regional dialects. BharatGPT may excel at recognising and accommodating diverse dialects, ensuring that consumers across the nation are understood and heard, regardless of their unique language preferences. 

Industry-specific customisation 

Sectoral tailoring: Given India's diversified economic landscape, BharatGPT could be tailored to specific industries in the country. For example, it might provide specialised AI models for agriculture, healthcare, education, finance, e-commerce, and other industries. This sectoral tailoring would make it an effective tool for professionals looking for domain-specific insights and solutions. 

Solution-oriented design: By resolving industry-specific challenges and user objectives, BharatGPT may give more precise and effective solutions. For example, in agriculture, it may provide real-time weather updates, crop management recommendations, and market insights. In healthcare, it could help with medical diagnosis, provide health information, and offer advice on how to manage chronic medical conditions. This technique will boost production and customer satisfaction in multiple sectors. 

Deep integration with Jio's ecosystem 

Service convergence: Jio's diverse ecosystem includes telephony, digital commerce, entertainment, and more. BharatGPT might exploit this ecosystem to provide seamless and improved user experiences. For example, it might assist consumers with making purchases, finding the best rates on Jio's digital commerce platform, discovering personalised content recommendations, or troubleshooting telecom issues. Such connections would improve the user experience and increase engagement with Jio's services. 

Data privacy and security: Given Jio's experience handling large quantities of user data via its telephony and internet services, BharatGPT may prioritise data privacy and security. It can use cutting-edge encryption, user data anonymization, and strict access limits to address rising concerns about data security in AI interactions. This dedication to securing user data would instil trust and confidence in users. 

As we approach this new technical dawn with the launch of BharatGPT, it is evident that Reliance Jio's goals extend far beyond the conventional. BharatGPT is more than a technology development; it is a step towards a more inclusive, intelligent, and innovative future. 

While the world waits for this pioneering project to come to fruition, one thing is certain: the launch of BharatGPT signals the start of an exciting new chapter in the history of artificial intelligence. Furthermore, it envisions a future in which technology is more intuitive, inclusive, and innovative than ever before. As with all great discoveries, the actual impact of BharatGPT will be seen in its implementation and the revolutionary improvements it brings to sectors and individuals alike.
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Technology
AI Tool Data Safety Generative AI LLM Private Data Technology

Anthropic Pledges to Not Use Private Data to Train Its AI

 

Anthropic, a leading generative AI startup, has announced that it would not employ its clients' data to train its Large Language Model (LLM) and will step in to safeguard clients facing copyright claims.

Anthropic, which was established by former OpenAI researchers, revised its terms of service to better express its goals and values. The startup is setting itself apart from competitors like OpenAI, Amazon, and Meta, which do employ user material to enhance their algorithms, by severing the private data of its own clients. 

The amended terms state that Anthropic "may not train models on customer content from paid services" and that Anthropic "as between the parties and to the extent permitted by applicable law, Anthropic agrees that customer owns all outputs, and disclaims any rights it receives to the customer content under these terms.” 

The terms also state that they "do not grant either party any rights to the other's content or intellectual property, by implication or otherwise," and that "Anthropic does not anticipate obtaining any rights in customer content under these terms."

The updated legal document appears to give protections and transparency for Anthropic's commercial clients. Companies own all AI outputs developed, for example, to avoid possible intellectual property conflicts. Anthropic also promises to defend clients against copyright lawsuits for any unauthorised content produced by Claude. 

The policy complies with Anthropic's mission statement, which states that AI should to be honest, safe, and helpful. Given the increasing public concern regarding the ethics of generative AI, the company's dedication to resolving issues like data privacy may offer it a competitive advantage.

Users' Data: Vital Food for LLMs

Large Language Models (LLMs), such as GPT-4, LlaMa, and Anthropic's Claude, are advanced artificial intelligence systems that comprehend and generate human language after being trained on large amounts of text data. 

These models use deep learning and neural networks to anticipate word sequences, interpret context, and grasp linguistic nuances. During training, they constantly refine their predictions, improving their capacity to communicate, write content, and give pertinent information.

The diversity and volume of the data on which LLMs are trained have a significant impact on their performance, making them more accurate and contextually aware as they learn from different language patterns, styles, and new information.

This is why user data is so valuable for training LLMs. For starters, it keeps the models up to date on the newest linguistic trends and user preferences (such as interpreting new slang).

Second, it enables personalisation and increases user engagement by reacting to specific user activities and styles. However, this raises ethical concerns because AI businesses do not compensate users for this vital information, which is used to train models that earn them millions of dollars.
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Vulnerabilities and Exploits
AI technology AI Tool Artificial Intelligence ChatGPT Digital Landscape generative AI tools OpenAI Protocols Security Flaws Vulnerabilities and Exploits

OpenAI Addresses ChatGPT Security Flaw

OpenAI has addressed significant security flaws in its state-of-the-art language model, ChatGPT, which has become widely used, in recent improvements. Although the business concedes that there is a defect that could pose major hazards, it reassures users that the issue has been addressed.

Security researchers originally raised the issue when they discovered a possible weakness that would have allowed malevolent actors to use the model to obtain private data. OpenAI immediately recognized the problem and took action to fix it. Due to a bug that caused data to leak during ChatGPT interactions, concerns were raised regarding user privacy and the security of the data the model processed.

OpenAI's commitment to transparency is evident in its prompt response to the situation. The company, in collaboration with security experts, has implemented mitigations to prevent data exfiltration. While these measures are a crucial step forward, it's essential to remain vigilant, as the fix may need to be fixed, leaving room for potential risks.

The company acknowledges the imperfections in the implemented fix, emphasizing the complexity of ensuring complete security in a dynamic digital landscape. OpenAI's dedication to continuous improvement is evident, as it actively seeks feedback from users and the security community to refine and enhance the security protocols surrounding ChatGPT.

In the face of this security challenge, OpenAI's response underscores the evolving nature of AI technology and the need for robust safeguards. The company's commitment to addressing issues head-on is crucial in maintaining user trust and ensuring the responsible deployment of AI models.

The events surrounding the ChatGPT security flaw serve as a reminder of the importance of ongoing collaboration between AI developers, security experts, and the wider user community. As AI technology advances, so must the security measures that protect users and their data.

Although OpenAI has addressed the possible security flaws in ChatGPT, there is still work to be done to guarantee that AI models are completely secure. To provide a safe and reliable AI ecosystem, users and developers must both exercise caution and join forces in strengthening the defenses of these potent language models.

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Video Conferencing
AI Companion AI Tool Generative AI Technology Video Conferencing

Zoom Launches AI Companion, Available at No Additional Cost

 

Zoom has pledged to provide artificial intelligence (AI) functions on its video-conferencing platform at no additional cost to paid clients. 

The tech firm believes that including these extra features as part of its paid platform service will provide a significant advantage as businesses analyse the price tags of other market alternatives. Zoom additionally touts the benefits of a federated multi-model architecture, which it claims will improve efficiencies.

Noting that customers have expressed concerns regarding the potential cost of using generative AI, particularly for larger organisations, Zoom's Asia-Pacific CEO Ricky Kapur stated, "At $30 per user each month? That is a substantial cost.” 

Large organisations will not want to provide access to every employee if it is too costly, Kapur stated. Executives must decide who should and should not have access to generative AI technologies, which can be a difficult decision. 

Because these functionalities are provided at no additional cost, Kapur claims that projects involving generative AI have "accelerated" among Zoom's paying customers. 

Several AI-powered features have been introduced by the video-conferencing platform in the last year, including AI Companion and Zoom Docs, the latter of which is set to become general next year. Zoom Docs is billed as a next-generation document workspace that includes "modern collaboration tools." The technology is built into the Zoom interface and is available in Meetings and Team Chat, as well as through internet and mobile apps.

AI Companion, previously known as Zoom IQ, is a generative AI assistant for the video-conferencing service that aids in the automation of time-consuming tasks. The tool can design chat responses with a customisable tone and duration based on user suggestions, as well as summarise unread chat messages. Zoom IQ can also summarise meetings, providing a record of what was said and who said it, as well as underlining crucial points. 

Customers who have signed up for one of Zoom's subscription plans can use AI Companion at no extra cost. The Pro plan costs $149.9 per user per year, while the Business plan costs $219.9 per user per year. Other options, Business Plus and Enterprise, are charged based on the customer's needs. 

According to Zoom's chief growth officer Graeme Geddes, the integration of Zoom Docs and AI Companion means customers will be able to receive a summary of their previous five meetings as well as a list of action items. Since its debut in September, AI Companion has been used by over 220,000 users. The artificial intelligence tool now supports 33 languages, including Chinese, Korean, and Japanese. 

Geddes emphasised Zoom's decision to integrate AI Companion at no additional cost for paying customers, noting the company believes these data-driven tools are essential features that everyone in the organisation should have access to. 

Zoom's federated approach to AI architecture, according to Geddes, is critical. Rather than relying on a single AI provider, as other IT companies have done, Zoom has chosen to combine multiple large language models (LLMs). These models include its own LLM as well as models from other parties such as Meta Llama 2, OpenAI GPT 3.5 and GPT 4, and Anthropic Claude 2.
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Telus Makes History with ISO Privacy Certification in AI Era

Telus, a prominent telecoms provider, has accomplished a significant milestone by obtaining the prestigious ISO Privacy by Design certification. This certification represents a critical turning point in the business's dedication to prioritizing privacy. The accomplishment demonstrates Telus' commitment to implementing industry-leading data protection best practices and can be seen as a new benchmark.

Privacy by Design, a concept introduced by Dr. Ann Cavoukian, emphasizes the integration of privacy considerations into the design and development of technologies. Telus' attainment of this certification showcases the company's proactive approach to safeguarding user information in an era where digital privacy is a growing concern.

Telus' commitment to privacy aligns with the broader context of technological advancements and their impact on personal data. As artificial intelligence (AI) continues to shape various industries, privacy concerns have become more pronounced. The intersection of AI and privacy is critical for companies to navigate responsibly.

The realization that AI technologies sometimes entail the processing of enormous volumes of sensitive data highlights the significance of this intersection. Telus's acquisition of the ISO Privacy by Design certification becomes particularly significant in the current digital context when privacy infractions and data breaches frequently make news.

In an era where data is often referred to as the new currency, the need for robust privacy measures cannot be overstated. Telus' proactive stance not only meets regulatory requirements but also sets a precedent for other companies to prioritize privacy in their operations.

Dr. Ann Cavoukian, the author of Privacy by Design, says that "integrating privacy into the design process is not only vital but also feasible and economical. It is privacy plus security, not privacy or security alone."

Privacy presents both opportunities and concerns as technology advances. Telus' certification is a shining example for the sector, indicating that privacy needs to be integrated into technology development from the ground up.

The achievement of ISO Privacy by Design certification by Telus represents a turning point in the ongoing conversation about privacy and technology. The proactive approach adopted by the organization not only guarantees adherence to industry norms but also serves as a noteworthy model for others to emulate. Privacy will continue to be a key component of responsible and ethical innovation as AI continues to change the digital landscape.


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Securing Generative AI: Navigating Risks and Strategies

The introduction of generative AI has caused a paradigm change in the rapidly developing field of artificial intelligence, posing both unprecedented benefits and problems for companies. The need to strengthen security measures is becoming more and more apparent as these potent technologies are utilized in a variety of areas.
  • Understanding the Landscape: Generative AI, capable of creating human-like content, has found applications in diverse fields, from content creation to data analysis. As organizations harness the potential of this technology, the need for robust security measures becomes paramount.
  • Samsung's Proactive Measures: A noteworthy event in 2023 was Samsung's ban on the use of generative AI, including ChatGPT, by its staff after a security breach. This incident underscored the importance of proactive security measures in mitigating potential risks associated with generative AI. As highlighted in the Forbes article, organizations need to adopt a multi-faceted approach to protect sensitive information and intellectual property.
  • Strategies for Countering Generative AI Security Challenges: Experts emphasize the need for a proactive and dynamic security posture. One crucial strategy is the implementation of comprehensive access controls and encryption protocols. By restricting access to generative AI systems and encrypting sensitive data, organizations can significantly reduce the risk of unauthorized use and potential leaks.
  • Continuous Monitoring and Auditing: To stay ahead of evolving threats, continuous monitoring and auditing of generative AI systems are essential. Organizations should regularly assess and update security protocols to address emerging vulnerabilities. This approach ensures that security measures remain effective in the face of rapidly evolving cyber threats.
  • Employee Awareness and Training: Express Computer emphasizes the role of employee awareness and training in mitigating generative AI security risks. As generative AI becomes more integrated into daily workflows, educating employees about potential risks, responsible usage, and recognizing potential security threats becomes imperative.
Organizations need to be extra careful about protecting their digital assets in the age of generative AI. Businesses may exploit the revolutionary power of generative AI while avoiding associated risks by adopting proactive security procedures and learning from instances such as Samsung's ban. Navigating the changing terrain of generative AI will require keeping up with technological advancements and adjusting security measures.

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Microsoft's Purview: A Leap Forward in AI Data Security

Microsoft has once again made significant progress in the rapidly changing fields of artificial intelligence and data security with the most recent updates to Purview, its AI-powered data management platform. The ground-breaking innovations and improvements included in the most recent version demonstrate the tech giant's dedication to increasing data security in an AI-centric environment.

Microsoft's official announcement highlights the company's relentless efforts to expand the capabilities of AI for security while concurrently fortifying security measures for AI applications. The move aims to address the growing challenges associated with safeguarding sensitive information in an environment increasingly dominated by artificial intelligence.

The Purview upgrades introduced by Microsoft have set a new benchmark in AI data security, and industry experts are noting. According to a report on VentureBeat, the enhancements showcase Microsoft's dedication to staying at the forefront of technological innovation, particularly in securing data in the age of AI.

One of the key features emphasized in the upgrades is the integration of advanced machine learning algorithms, providing Purview users with enhanced threat detection and proactive security measures. This signifies a shift towards a more predictive approach to data security, where potential risks can be identified and mitigated before they escalate into significant issues.

The Tech Community post by Microsoft delves into the specifics of how Purview is securing data in an 'AI-first world.' It discusses the platform's ability to intelligently classify and protect data, ensuring that sensitive information is handled with the utmost care. The post emphasizes the role of AI in enabling organizations to navigate the complexities of modern data management securely.

Microsoft's commitment to a comprehensive approach to data security is reflected in the expanded capabilities unveiled at Microsoft Ignite. The company's focus on both utilizing AI for bolstering security and ensuring the security of AI applications demonstrates a holistic understanding of the challenges organizations face in an increasingly interconnected and data-driven world.

As businesses continue to embrace AI technologies, the need for robust data security measures becomes paramount. Microsoft's Purview upgrades signal a significant stride in meeting these demands, offering organizations a powerful tool to navigate the intricate landscape of AI data security effectively. As the industry evolves, Microsoft's proactive stance reaffirms its position as a leader in shaping the future of secure AI-powered data management.


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ChatGPT: Security and Privacy Risks

ChatGPT is a large language model (LLM) from OpenAI that can generate text, translate languages, write different kinds of creative content, and answer your questions in an informative way. It is still under development, but it has already been used for a variety of purposes, including creative writing, code generation, and research.

However, ChatGPT also poses some security and privacy risks. These risks are highlighted in the following articles:

  • Custom instructions for ChatGPT: This can be useful for tasks such as generating code or writing creative content. However, it also means that users can potentially give ChatGPT instructions that could be malicious or harmful.
  • ChatGPT plugins, security and privacy risks:Plugins are third-party tools that can be used to extend the functionality of ChatGPT. However, some plugins may be malicious and could exploit vulnerabilities in ChatGPT to steal user data or launch attacks.
  • Web security, OAuth: OAuth, a security protocol that is often used to authorize access to websites and web applications. OAuth can be used to allow ChatGPT to access sensitive data on a user's behalf. However, if OAuth tokens are not properly managed, they could be stolen and used to access user accounts without their permission.
  • OpenAI disables browse feature after releasing it on ChatGPT app: Analytics India Mag discusses OpenAI's decision to disable the browse feature on the ChatGPT app. The browse feature allowed ChatGPT to generate text from websites. However, OpenAI disabled the feature due to security concerns.

Overall, ChatGPT is a powerful tool with a number of potential benefits. However, it is important to be aware of the security and privacy risks associated with using it. Users should carefully consider the instructions they give to ChatGPT and only use trusted plugins. They should also be careful about what websites and web applications they authorize ChatGPT to access.

Here are some additional tips for using ChatGPT safely:

  • Be careful what information you share with ChatGPT. Do not share any sensitive information, such as passwords, credit card numbers, or personal health information.
  • Use strong passwords and enable two-factor authentication on all of your accounts. This will help to protect your accounts from being compromised, even if ChatGPT is compromised.
  • Keep your software up to date. Software updates often include security patches that can help to protect your devices from attack.
  • Be aware of the risks associated with using third-party plugins. Only use plugins from trusted developers and be careful about what permissions you grant them.
While ChatGPT's unique instructions present intriguing potential, they also carry security and privacy risks. To reduce dangers and guarantee the safe and ethical use of this potent AI tool, users and developers must work together.

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CIA's AI Chatbot: A New Tool for Intelligence Gathering

The Central Intelligence Agency (CIA) is building its own AI chatbot, similar to ChatGPT. The program, which is still under development, is designed to help US spies more easily sift through ever-growing troves of information.

The chatbot will be trained on publicly available data, including news articles, social media posts, and government documents. It will then be able to answer questions from analysts, providing them with summaries of information and sources to support its claims.

According to Randy Nixon, the director of the CIA's Open Source Enterprise division, the chatbot will be a 'powerful tool' for intelligence gathering. "It will allow us to quickly and easily identify patterns and trends in the data that we collect," he said. "This will help us to better understand the world around us and to identify potential threats."

The CIA's AI chatbot is part of a broader trend of intelligence agencies using AI to improve their operations. Other agencies, such as the National Security Agency (NSA) and the Federal Bureau of Investigation (FBI), are also developing AI tools to help them with tasks such as data analysis and threat detection.

The use of AI by intelligence agencies raises several concerns, including the potential for bias and abuse. However, proponents of AI argue that it can help agencies to be more efficient and effective in their work.

"AI is a powerful tool that can be used for good or for bad," said James Lewis, a senior fellow at the Center for Strategic and International Studies. "It's important for intelligence agencies to use AI responsibly and to be transparent about how they are using it."

Here are some specific ways that the CIA's AI chatbot could be used:

  • To identify and verify information: The chatbot could be used to scan through large amounts of data to identify potential threats or intelligence leads. It could also be used to verify the accuracy of information that is already known.
  • To generate insights from data: The chatbot could be used to identify patterns and trends in data that may not be apparent to human analysts. This could help analysts to better understand the world around them and to identify potential threats.
  • To automate tasks: The chatbot could be used to automate tasks such as data collection, analysis, and reporting. This could free up analysts to focus on more complex and strategic work.

The CIA's AI chatbot is still in its early stages of development, but it has the potential to revolutionize the way that intelligence agencies operate. If successful, the chatbot could help agencies to be more efficient, effective, and responsive to emerging threats.

However, it is important to note that the use of AI by intelligence agencies also raises several concerns. For example, there is a risk that AI systems could be biased or inaccurate. Additionally, there is a concern that AI could be used to violate people's privacy or to develop autonomous weapons systems.

It is important for intelligence agencies to be transparent about how they are using AI and to take steps to mitigate the risks associated with its use. The CIA has said that its AI chatbot will follow US privacy laws and that it will not be used to develop autonomous weapons systems.

The CIA's AI chatbot is a remarkable advancement that might have a substantial effect on how intelligence services conduct their business. To make sure that intelligence services are using AI properly and ethically, it is crucial to closely monitor its use.

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Medical Data
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Accurate Eye Diagnosis, Early Parkinson's Detection

A revolutionary advancement in the realm of medical diagnostics has seen the emergence of cutting-edge AI tools. This ground-breaking technology identifies a variety of eye disorders with unmatched accuracy and has the potential to transform Parkinson's disease early detection.

According to a recent report from Medical News Today, the AI tool has shown remarkable precision in diagnosing a wide range of eye conditions, from cataracts to glaucoma. By analyzing high-resolution images of the eye, the tool can swiftly and accurately identify subtle signs that might elude the human eye. This not only expedites the diagnostic process but also enhances the likelihood of successful treatment outcomes.

Dr. Sarah Thompson, a leading ophthalmologist, expressed her enthusiasm about the implications of this breakthrough technology, stating, "The AI tool's ability to detect minute irregularities in eye images is truly remarkable. It opens up new avenues for early intervention and tailored treatment plans for patients."

The significance of this AI tool is further underscored by its potential to assist in the early diagnosis of Parkinson's disease. Utilizing a foundational AI model, as reported by Parkinson's News Today, the tool analyzes eye images to detect subtle indicators of Parkinson's. This development could be a game-changer in the realm of neurology, where early diagnosis is often challenging, yet crucial for better patient outcomes.

Dr. Michael Rodriguez, a neurologist specializing in movement disorders, expressed his optimism, stating, "The integration of AI in Parkinson's diagnosis is a monumental step forward. Detecting the disease in its early stages allows for more effective management strategies and could potentially alter the course of the disease for many patients."

The potential impact of this AI-driven diagnostic tool extends beyond the realm of individual patient care. As reported by Healthcare IT News, its widespread implementation could lead to more efficient healthcare systems, reducing the burden on both clinicians and patients. By streamlining the diagnostic process, healthcare providers can allocate resources more effectively and prioritize early intervention.

An important turning point in the history of medical diagnostics has been reached with the introduction of this revolutionary AI technology. Its unmatched precision in identifying eye disorders and promise to improve Parkinson's disease early detection have significant effects on patient care and healthcare systems around the world. This technology has the potential to revolutionize medical diagnosis and treatment as it develops further.
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User Privacy
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OpenAI's GPTBot: A New Era of Web Crawling

OpenAI, the pioneering artificial intelligence research lab, is gearing up to launch a formidable new web crawler aimed at enhancing its data-gathering capabilities from the vast expanse of the internet. The announcement comes as part of OpenAI's ongoing efforts to bolster the prowess of its AI models, with potential applications spanning from information retrieval to knowledge synthesis. This move is poised to further establish OpenAI's dominance in the realm of AI-driven data aggregation.

Technology enthusiasts and members of the AI research community are equally interested in the upcoming release of OpenAI's web crawler. The program seems to be consistent with OpenAI's goal of expanding accessibility and AI capabilities. The new web crawler, internally known as 'GPTBot' or 'GPT-5,' is positioned to be a versatile data scraper made to rapidly navigate the complex web terrain, according to the official statement made by OpenAI.

The introduction of this advanced web crawler is expected to significantly amplify OpenAI's access to diverse and relevant data sources across the open web. As noted by OpenAI's spokesperson, "Our goal is to harness the power of GPTBot to empower our AI models with a deeper understanding of real-time information, ultimately enriching the user experience across various applications."

The online discussions on platforms like Hacker News have showcased a blend of excitement and curiosity surrounding OpenAI's latest venture. While some users have expressed eagerness to witness the potential capabilities of the new web crawler, others have posed questions about the technical nuances and ethical considerations associated with such technology. As one user on Hacker News pondered, "How will OpenAI strike a balance between data acquisition and respecting the privacy of individuals and entities?"

OpenAI's strides in AI research have consistently been marked by innovation, and this new web crawler venture seems to be no exception. With its proven track record of developing groundbreaking AI models like GPT-3, OpenAI is well-positioned to harness the full potential of GPTBot. As the boundaries of AI capabilities continue to expand, the success of this endeavor could further solidify OpenAI's standing as a trailblazer in the AI landscape.

OpenAI's upcoming web crawler launch underscores its commitment to advancing AI capabilities and data acquisition techniques. The integration of GPTBot into OpenAI's framework has the potential to revolutionize data scraping and synthesis, making it a pivotal tool in various AI applications. 

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