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Google Reveals Use of Public Web Data in AI Training

Unite.AI

In a recent update to its privacy policy, Google has openly admitted to using publicly available information from the web to train its AI models. How does Google ensure the privacy of individuals when using publicly available data? This disclosure, spotted by Gizmodo , includes services like Bard and Cloud AI.

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Responsible AI can revolutionize tax agencies to improve citizen services

IBM Journey to AI blog

Mitigating data bias, unethical use of data, lack of transparency or privacy breaches is essential. Governments can help manage and mitigate these risks by relying on IBM’s five fundamental properties for trustworthy AI: explainability, fairness, transparency, robustness and privacy. What’s next?

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Data privacy examples

IBM Journey to AI blog

These are just some examples of how organizations support data privacy , the principle that people should have control of their personal data, including who can see it, who can collect it, and how it can be used. One cannot overstate the importance of data privacy for businesses today.

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Is Character AI Safe? Understanding Safety and Privacy Concerns

Unite.AI

According to DemandSage , its billion dollar valuation and 20 million strong user base speak volumes about Character.AI's innovative approach. champions data privacy. This blog will cover various aspects of Character.AI, exploring its features and addressing any lingering safety and privacy concerns associated with it.

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The Growing Threat of Data Leakage in Generative AI Apps

Unite.AI

Breach of Customer Privacy & Trust Customer data entrusted to a company, such as financial information, personal details, or healthcare records, could be exposed through GenAI interactions. Businesses may also face legal action from customers whose privacy was compromised. AI leaders have a responsibility to be proactive.

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Ethical, trust and skill barriers hold back generative AI progress in EMEA

AI News

76% of consumers in EMEA think AI will significantly impact the next five years, yet 47% question the value that AI will bring and 41% are worried about its applications. Meanwhile, 41% of business respondents are concerned about its application in critical decision-making areas.

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NIST announces AI consortium to shape US policies

AI News

.” The primary objective of this collaboration is to create and implement specific policies and measurements that ensure a human-centred approach to AI safety and governance within the United States. The formation of the AI consortium signifies a crucial step towards shaping the future of AI policies in the US.

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