OpenAI has admitted that developing ChatGPT would not have been feasible without the use of copyrighted content to train its algorithms. It is widely known that artificial intelligence (AI) systems heavily rely on social media content for their development. In fact, AI has become an essential tool for many social media platforms.
AI tools like ChatGPT from Open AI or CoPilot from Microsoft work using language models trained on a huge spectrum of internet prompts. You can ask questions, and the chatbot responds based on learned patterns. The AI tech can generate numerous responses which can be helpful, but it is not accurate.
The incorporation of AI into healthcare raises substantial regulatory and ethical concerns. There are significant gaps in the regulation of AI applications, which raises questions regarding liability and accountability when AI systems deliver inaccurate or harmful advice.
One of the main drawbacks of AI in medicine is the need for more individualized care. AI systems use large databases to discover patterns, but healthcare is very individualized. AI lacks the ability to comprehend the finer nuances of a patient's history or condition, frequently required for accurate diagnosis and successful treatment planning.
The efficacy of AI is strongly contingent on the quality of the data used to train it. AI's results can be misleading if the data is skewed or inaccurate. For example, if an AI model is largely trained on data from a single ethnic group, its performance may suffer when applied to people from other backgrounds. This can result in misdiagnoses or improper medical recommendations.
The ease of access to AI for medical advice may result in misuse or misinterpretation of the info it delivers. Quick, AI-generated responses may be interpreted out of context or applied inappropriately by persons without medical experience. Such events have the potential to delay necessary medical intervention or lead to ineffective self-treatment.
Using AI in healthcare usually requires entering sensitive personal information. This creates serious privacy and data security concerns, as breaches could allow unauthorized access to or misuse of user data.
As technology advances quickly, governments all over the world are becoming increasingly concerned about artificial intelligence (AI) regulation. Two noteworthy recent breakthroughs in AI legislation have surfaced, providing insight into the measures governments are implementing to guarantee the proper advancement and application of AI technologies.
The first path is marked by the United States, where on October 30, 2023, President Joe Biden signed an executive order titled "The Safe, Secure, and Trustworthy Development and Use of Artificial Intelligence." The order emphasizes the need for clear guidelines and ethical standards to govern AI applications. It acknowledges the transformative potential of AI while emphasizing the importance of addressing potential risks and ensuring public trust. The order establishes a comprehensive framework for the federal government's approach to AI, emphasizing collaboration between various agencies to promote innovation while safeguarding against misuse.
Meanwhile, the European Union has taken a proactive stance with the EU AI Act, the first regulation dedicated to artificial intelligence. Introduced on June 1, 2023, this regulation is a milestone in AI governance. It classifies AI systems into different risk categories and imposes strict requirements for high-risk applications, emphasizing transparency and accountability. The EU AI Act represents a concerted effort to balance innovation with the protection of fundamental rights, fostering a regulatory environment that aims to set a global standard for AI development.
Moreover, in the pursuit of responsible AI development, companies like Anthropic have also contributed to the discourse. They have released a document titled "Responsible Scaling Policy 1.0," which outlines their commitment to ethical considerations in the development and deployment of AI technologies. This document reflects the growing recognition within the tech industry of the need for self-regulation and ethical guidelines to prevent the unintended consequences of AI.
As the global community grapples with the complexities of AI regulation, it is evident that a nuanced approach is necessary. These regulatory frameworks strive to strike a balance between fostering innovation and addressing potential risks associated with AI. In the words of President Biden, "We must ensure that AI is developed and used responsibly, ethically, and with public trust." The EU AI Act echoes this sentiment, emphasizing the importance of human-centric AI that respects democratic values and fundamental rights.
A common commitment to maximizing AI's advantages while minimizing its risks is reflected in the way regulations surrounding the technology are developing. These legislative measures, which come from partnerships between groups and governments, pave the path for a future where AI is used responsibly and ethically, ensuring that technology advances humankind rather than working against it.
But, is the name change the only new thing the users will be introduced with? The answer could be a little ambiguous.
What is New with Bing Chat (now Copilot)? Honestly, there are no significant changes in Copilot, previously called Bing Chat. “Refinement” might be a more appropriate term to characterize Microsoft's perplexing activities. Let's examine three modifications that Microsoft made to its AI chatbot.
Here, we are listing some of these refinements:
Copilot, then Bing Chat, now has its own standalone webpage. One can access this webpage at https://copilot.microsoft.com
This means that the user will no longer be required to visit Bing in order to access Microsoft’s AI chat experience. One can simply visit the aforementioned webpage, without Bing Search and other services interfering with your experience. Put differently, it has become much more "ChatGPT-like" now.
Notably, however, the link seems to only function with desktop versions of Microsoft Edge and Google Chrome.
While Microsoft has made certain visual changes in the rebranded Bing Chat, they are however insignificant.
This new version has smaller tiles but still has the same prompts: Write, Create, Laugh, Code, Organize, Compare, and Travel.
However, the users can still choose the conversation style, be it Creative, Balanced and Precise. The only big change, as mentioned before, is the new name (Copilot) and the tagline: "Your everyday AI companion."
Though the theme colour switched from light blue to an off-white, the user interface is largely the same.
Users can access DALLE-3 and GPT-4 for free with Bing Chat, which is now called Copilot. But in order to utilize Copilot on platforms like Word, Excel, PowerPoint, and other widely used productivity tools, users will have to pay a membership fee for what Microsoft refers to as "Copilot for Microsoft 365."
With Copilot, users can access DALLE-3 and GPT-4 for free. But in order to utilize Copilot on platforms like Word, Excel, PowerPoint, and other widely used productivity tools, users will have to pay a membership fee for what Microsoft refers to as "Copilot for Microsoft 365."
This way, users who have had a Bing Chat Enterprise account, or pay for a Microsoft 365 license, will get an additional benefit of more data protection./ Copilot will be officially launched on December 1.
Microsoft plans to gradually add commercial data protection for those who do not pay. However, Copilot currently stores information from your interactions and follows the same data policy as the previous version of Bing Chat for free users. Therefore, the name and domain change is the only difference for casual, non-subscribing Bing Chat users. OpenAI's GPT-4 and DALL-E 3 models are still available, but users need to be careful about sharing too much personal data with the chatbot.
In summary, there is not much to be excited about for free users: Copilot is the new name for Bing Chat, and it has a new home.
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.
However, it raises a question: who should be the culprit? The cybercriminals? The generative AI bots? The firms who develop these bots? Or perhaps the government that fails to come up with proper regulation and accountability?
Generative AI technology is another form of artificial intelligence that aids users in generating texts, images, sounds, and other content from inputs or instructions that are given in natural language.
Similar AI bots like ChatGPT, Google Bard, Perplexity, and others are made available to any online user who wishes to chat, generate human-like texts, and scripts, or even write complex codes.
Although, one problem in common that these AI bots possess is their ability to produce offensive or harmful content on the basis of user input, which may violate ethical standards, inflict harm, or even be illegal.
These cases are why chatbots include security mechanisms onboard and content filters that could restrict output that may be harmful or malicious. However, how effective are these preventative methods for content monitoring, and how closely do they resemble cyber defense? The most recent chatbots are reportedly being used by hackers to develop and distribute malware. These chatbots can be "tricked" into creating spam and phishing emails, and they have even assisted bad actors in creating programs that bypass security safeguards and damage computer networks.
In order to improve their understanding of the problem, researchers investigated some malicious content-generation capabilities of chatbots and found ways to a few techniques used by fraudsters to get beyond chatbot security measures. For instance:
There are innumerable other ways these chatbots might be used to launch destructive cyberattacks; these methods for getting around ethical and social standards are simply the tip of the iceberg. Modern chatbots are AI-based systems trained on knowledge of the world as it exists today, so they are aware of weaknesses and how to exploit them. Thus, it is high time that online users and AI developers seek innovative ways to ensure safety and mitigate consequences that would otherwise result in destructive cyberspace.
One of the less discussed consequences in regard to ChatGPT is its privacy risk. Google only yesterday launched Bard, its own conversational AI, and others will undoubtedly follow. Technology firms engaged in AI development have certainly entered a race.
The issue would be its technology, which is entirely based on users’ personal data.
ChatGPT is apparently based on a massive language model, which backs up an enormous amount of data to operate and enhance its functions. Implying, the model gets more adept at seeing patterns, foreseeing what will happen next, and producing credible text as more data is used to train it.
OpenAI, the developer of ChatGPT, sourced the Chatbot model with some 3 million words systematically taken from the internet – via books, articles, websites, and posts – which also undeniably involves online users’ personal information, gathered without their consent.
Every blog post, product review, or comment written on an article, which exists or ever existed in the online world has a good chance that the data or information involved it is was consumed by ChatGPT.
The gathered data used in order to train ChatGPT is problematic for numerous reasons.
First, the collected data is unconsented, since none of the online users were ever asked if OpenAI could use their seemingly personal information. Thus, this would be a clear violation of privacy, especially when the data is sensitive and can be used to locate us, identify our loved ones, or identify ourselves.
The usage of data can compromise what we refer to as contextual integrity even when the data is publicly available. This is a cornerstone idea in discussions about privacy law. Information on people must not be made public outside of the context in which it was first created.
Moreover, OpenAI does not include any procedure for users to monitor whether the company has their personal information in-store, or to request it to be taken down. The European General Data Protection Regulation (GDPR), which guarantees this right, is still being discussed as to whether ChatGPT complies with its criteria.
This “right to be forgotten” is specifically essential when it comes to situations involving information that is inaccurate or misleading, which seems to be a regular occurrence in ChatGPT.
Furthermore, the scraped data that ChatGPT was trained on may be confidential or protected by copyright. For instance, the tool replicated the opening few chapters of Joseph Heller's copyrighted book Catch-22.
Finally, OpenAI did not pay for the internet data it downloaded. Its creators—individuals, website owners, and businesses—were not being compensated. This is especially remarkable in light of the recent US$29 billion valuation of OpenAI, which is more than double its value in 2021.
OpenAI has also recently announced ChatGPT Plus, which is a paid subscription plan that will provide users ongoing access to the tool, swift response times, and priority access to its new feature. By 2024, it is anticipated that this approach would help generate $1 billion in revenue.
None of this would have been possible without the usage of ‘our’ data, acquired and utilized without our consent.
According to some professionals and experts, ChatGPT is a “tipping point for AI” - The realisation of technological advancement that can revolutionize the way we work, learn, write, and even think.
Despite its potential advantages, we must keep in mind that OpenAI is a private, for-profit organization whose objectives and business demands may not always coincide with those of the larger community requirements.
The privacy hazards associated with ChatGPT should serve as a caution. And as users of an increasing number of AI technologies, we need to exercise extreme caution when deciding what data to provide such tools with.
The team at Cybernews has warned that AI chatbots may be fun to play with, but they are also dangerous as it is able to give detailed info on how to exploit any vulnerability.
AI has created a stir in the imaginations of leaders in the tech industry and pop culture for decades. Machine learning tech allows you to automatically create text, photos, videos, and other media. They are all flourishing in the tech sphere as investors put billions of dollars into this field.
While AI has enabled endless opportunities to help humans, the experts warn about the potential dangers of making an algorithm that will outperform human capabilities and can get out of control.
Apocalypse situations due to AI taking over the planet are not something we are talking about. However, in today's scenario, AI has already started helping threat actors in malicious activities.
ChatGPT is the latest innovation in AI, made by research company OpenAI which was led by Sam Altman, and also backed by Microsoft, LinkedIn Co-founder Reid Hoffman, Elon Musk, and Khosla Ventures.
The AI chatbot can make conversations with people imitating various writing styles. The text made by ChatGPT is way more imaginative and complex when compared to earlier chatbots built by Silicon Valley. ChatGPT is trained using large amounts of text data from web, Wikipedia, and archived books.
After five days after the ChatGPT launch, over one million people had signed up for testing the tech. Social media was invaded with users' queries and the AI's answers- writing poems, copywriting, plotting movies, giving important tips for weight loss or healthy relationships, creative brainstorming, studying, and even programming.
According to OpenAI, ChatGPT models can answer follow-up questions, argue incorrect premises, reject inappropriate queries, and admit their personal mistakes.
According to cybernews, the research team tried "using ChatGPT to help them find a website's vulnerabilities. Researchers asked questions and followed the guidance of AI, trying to check if the chatbot could provide a step-by-step guide on exploiting."
"The researchers used the 'Hack the Box' cybersecurity training platform for their experiment. The platform provides a virtual training environment and is widely used by cybersecurity specialists, students, and companies to improve hacking skills."
"The team approached ChatGPT by explaining that they were doing a penetration testing challenge. Penetration testing (pen test) is a method used to replicate a hack by deploying different tools and strategies. The discovered vulnerabilities can help organizations strengthen the security of their systems."
Experts believe that AI-based vulnerability scanners used by cybercriminals can wreak havoc on internet security. However, cybernews team also sees the potential of AI in cybersecurity.
Researchers can use insights from AI to prevent data leaks. AI can also help developers in monitoring and testing implementation more efficiently.
AI keeps on learning, it has a mind of its own. It learns newer ways of advanced tech and exploitation, and it works as a handbook to penetration testers, offering sample payloads fulfilling their needs.
“Even though we tried ChatGPT against a relatively uncomplicated penetration testing task, it does show the potential for guiding more people on how to discover vulnerabilities that could, later on, be exploited by more individuals, and that widens the threat landscape considerably. The rules of the game have changed, so businesses and governments must adapt to it," said Mantas Sasnauskas, head of the research team.
Security experts have cautioned that a new AI bot called ChatGPT may be employed by cybercriminals to educate them on how to plan attacks and even develop ransomware. It was launched by the artificial intelligence r&d company OpenAI last month.
Computer security expert Brendan Dolan-Gavitt questioned if he could command an AI-powered chatbot to create malicious code when the ChatGPT application first allowed users to communicate. Then he gave the program a basic capture-the-flag mission to complete.
The code featured a buffer overflow vulnerability, which ChatGPT accurately identified and created a piece of code to capitalize it. The program would have addressed the issue flawlessly if not for a small error—the number of characters in the input.
The fact that ChatGPT failed Dolan Gavitt's task, which he would have given students at the start of a vulnerability analysis course, does not instill trust in massive language models' capacity to generate high-quality code. However, after identifying the mistake, Dolan-Gavitt asked the model to review the response, and this time, ChatGPT did it right.