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Privacy
Android Artifical Intelligence data security Gemini AI Google Pixel Privacy

Google Assures Privacy with Gemini AI: No Data Sharing with Third Parties

Google recently announced bringing into view its Gemini AI technology, beginning with the latest Pixel 9 devices. As part of this consequential development, Google has reassured users about the strong privacy and security measures surrounding their personal data, addressing growing concerns in the digital age.

A Strong Focus on Privacy

In an exclusive interview with Aayush Ailawadi from Business Today, Sameer Samat, the President of Google’s Android Ecosystem, emphasised that user privacy is a top priority for the company. He explained that for any AI assistant, especially one as advanced as Gemini, safeguarding user data is crucial. According to Samat, Google's longstanding commitment to privacy and security has been a cornerstone of its approach to developing Android. He pointed out that for a personal assistant to be genuinely useful, it must also be trusted to keep conversations and data secure.

Samat highlighted Google’s extensive experience and investment in artificial intelligence as a key advantage. He noted that Google controls every aspect of the AI process, from optimising the AI on users’ devices to managing it in the cloud. This comprehensive control ensures that the technology operates securely and efficiently across all platforms.

One of the standout features of the Gemini AI, according to Samat, is its ability to handle personal queries and tasks entirely within Google’s ecosystem, without involving third-party providers. This approach minimises the risk of data exposure and ensures that users' information remains within the trusted boundaries of Google’s systems. Samat stressed upon the fine details of this feature for users who are particularly concerned about who has access to their personal data.

AI That Works for Everyday Life

When asked about the broader implications of AI, Samat expressed his belief that AI technology should be open-source to better serve consumers. He emphasised that AI needs to be more than just a intricately designed tool— it should be something that genuinely helps people in their daily lives. 

Samat shared an example from his personal experience to illustrate this point. While researching a used car purchase, he used Gemini AI to quickly gather important information that would typically take much longer to find. The AI assistant provided him with a concise list of questions to ask the mechanic, reducing what would have been an hour-long research task to just a few minutes. This practical application, Samat suggested, is what consumers really value—technology that saves them time and makes life easier.

Google’s latest developments with Gemini AI signal a shift in focus from merely advancing technology to making it more accessible and beneficial for everyday use. This reflects a broader trend in the tech industry, where the goal is to ensure that innovations are not only cutting-edge but also practical and user-friendly.

Google’s Gemini AI aims to offer users a more secure and private experience while also being a pragmatic tool for daily tasks. With its focus on preserving privacy, controlled data management, and utility, Google is setting new standards for how AI can convenience our lives while keeping personal information safe.



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Technology
ChatGPT Copilot Gemini AI Gen AI Technology

AI Minefield: Risks of Gen AI in Your Personal Sphere

AI Minefield: Risks of Gen AI in Your Personal Sphere

Many customers are captivated by Gen AI, employing new technologies for a variety of personal and corporate purposes. 

However, many people ignore the serious privacy implications.

Is Generative AI all sunshine and rainbows?

Consumer AI products, such as OpenAI's ChatGPT, Google's Gemini, Microsoft Copilot software, and the new Apple Intelligence, are widely available and growing. However, the programs have various privacy practices in terms of how they use and retain user data. In many circumstances, users are unaware of how their data is or may be utilized.

This is where being an informed consumer becomes critical. According to Jodi Daniels, chief executive and privacy expert of Red Clover Advisors, which advises businesses on privacy issues, the granularity of what you can regulate varies depending on the technology. Daniels explained that there is no uniform opt-out for all technologies.

Privacy concerns

The rise of AI technologies, and their incorporation into so much of what customers do on their personal computers and cellphones, makes these problems much more pressing. A few months ago, for example, Microsoft introduced its first Surface PCs with a dedicated Copilot button on the keyboard for rapid access to the chatbot, fulfilling a promise made several months previously. 

Apple, for its part, presented its AI vision last month, which centered around numerous smaller models that operate on the company's devices and chips. Company officials have spoken publicly about the significance of privacy, which can be an issue with AI models.

Here are many approaches for consumers to secure their privacy in the new era of generative AI.

1. Use opt-outs provided by OpenAI and Google

Each generation AI tool has its own privacy policy, which may include opt-out choices. Gemini, for example, lets customers choose a retention time and erase certain data, among other activity limits.

ChatGPT allows users to opt out of having their data used for model training. To do so, click the profile symbol in the bottom-left corner of the page and then pick Data Controls from the Settings header. They must then disable the feature labeled "Improve the model for everyone." According to a FAQ on OpenAI's website, if this is disabled, fresh talks will not be utilized to train ChatGPT's models.

2. Opt-in, but for good reasons

Companies are incorporating modern AI into personal and professional solutions, like as Microsoft Copilot. Opt-in only for valid reasons. Copilot for Microsoft 365, for example, integrates with Word, Excel, and PowerPoint to assist users with activities such as analytics, idea development, and organization.

Microsoft claims that it does not share consumer data with third parties without permission, nor does it utilize customer data to train Copilot or other AI features without consent. 

Users can, however, opt in if they like by logging into the Power Platform admin portal, selecting settings, and tenant settings, and enabling data sharing for Dynamics 365 Copilot and Power Platform Copilot AI Features. They facilitate data sharing and saving.

3. Gen AI search: Setting retention period

Consumers may not think much before seeking information using AI, treating it like a search engine to create information and ideas. However, looking for specific types of information utilizing gen AI might be intrusive to a person's privacy, hence there are best practices for using such tools. Hoffman-Andrews recommends setting a short retention period for the generation AI tool. 

And, if possible, erase chats once you've gathered the desired information. Companies still keep server logs, but they can assist lessen the chance of a third party gaining access to your account, he explained. It may also limit the likelihood of sensitive information becoming part of the model training. "It really depends on the privacy settings of the particular site."

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Technology
AI Model Gemini AI Googlr GPT-4 Technology

Google’s Med-Gemini: Advancing AI in Healthcare

Google’s Med-Gemini: Advancing AI in Healthcare

On Tuesday, Google unveiled a new line of artificial intelligence (AI) models geared toward the medical industry. Although the tech giant has issued a pre-print version of its research paper that illustrates the capabilities and methodology of these AI models, dubbed Med-Gemini, they are not accessible for public usage. 

According to the business, in benchmark testing, the AI models outperform the GPT-4 models. This specific AI model's long-context capabilities, which enable it to process and analyze research papers and health records, are one of its standout qualities.

Benchmark Performance

The paper is available online at arXiv, an open-access repository for academic research, and is presently in the pre-print stage. In a post on X (formerly known as Twitter), Jeff Dean, Chief Scientist at Google DeepMind and Google Research, expressed his excitement about the potential of these models to improve patient and physician understanding of medical issues. I believe that one of the most significant application areas for AI will be in the healthcare industry.”

The AI model has been fine-tuned to boost performance when processing long-context data. A higher quality long-context processing would allow the chatbot to offer more precise and pinpointed answers even when the inquiries are not perfectly posed or when processing a large document of medical records.

Multimodal Abilities

Text, Image, and Video Outputs

Med-Gemini isn’t limited to text-based responses. It seamlessly integrates with medical images and videos, making it a versatile tool for clinicians.

Imagine a radiologist querying Med-Gemini about an X-ray image. The model can provide not only textual information but also highlight relevant areas in the image.

Long-Context Processing

Med-Gemini’s forte lies in handling lengthy health records and research papers. It doesn’t shy away from complex queries or voluminous data.

Clinicians can now extract precise answers from extensive patient histories, aiding diagnosis and treatment decisions.

Integration with Web Search

Factually Accurate Results

Med-Gemini builds upon the foundation of Gemini 1.0 and Gemini 1.5 LLM. These models are fine-tuned for medical contexts.

Google’s self-training approach has improved web search results. Med-Gemini delivers nuanced answers, fact-checking information against reliable sources.

Clinical Reasoning

Imagine a physician researching a rare disease. Med-Gemini not only retrieves relevant papers but also synthesizes insights.

It’s like having an AI colleague who reads thousands of articles in seconds and distills the essential knowledge.

The Promise of Med-Gemini

Patient-Centric Care

Med-Gemini empowers healthcare providers to offer better care. It aids in diagnosis, treatment planning, and patient education.

Patients benefit from accurate information, demystifying medical jargon and fostering informed discussions.

Ethical Considerations

As with any AI, ethical use is crucial. Med-Gemini must respect patient privacy, avoid biases, and prioritize evidence-based medicine.

Google’s commitment to transparency and fairness will be critical in its adoption.

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