The EU AI Act proposes a framework to regulate AI, focusing on “high-risk” systems and emphasizing the importance of data governance to prevent biases and discrimination. Article 10 outlines strict standards for the datasets used in high-risk AI systems, ensuring they are suitable and reliable for their intended purposes.
Over 50 organizations, including Access Now and the European Consumer Organisation, warned the EU Technology Commissioner against delays or backtracking on the AI Act, emphasizing that such actions would undermine accountability mechanisms. They highlighted the importance of maintaining legal protections and not allowing the simplification agenda to drive deregulation.
The French CNIL has clarified that training AI models on personal data from public sources can be lawful under GDPR’s legitimate interest basis, provided certain conditions are met. However, this guidance does not resolve other regulatory issues such as copyright and database rights that continue to impact AI training practices.
The EU AI Act, finalized in late 2023, establishes comprehensive regulations governing the use of artificial intelligence by companies operating in Europe, including those based in the U.S. It aims to ensure that AI systems are developed and used safely and ethically, with an emphasis on transparency, documentation, and human oversight.
OpenAI, in partnership with the IndiaAI Mission, launched the OpenAI Academy in India, aiming to democratize AI education through accessible training and resources. Experts have raised concerns about data privacy and ethical safeguards, emphasizing the need for clear consent mechanisms and responsible AI practices.
U.S. businesses have significantly increased their budgets for data privacy and compliance, with a reported rise of 71% over the past year, according to a Blancco report. This surge in spending is largely attributed to new regulations and the growing demands for improved cybersecurity measures in response to AI adoption.
In 2025, the adoption of Generative AI is significantly transforming privacy, governance, and compliance frameworks across various industries. As AI governance matures, organizations are increasingly integrating these frameworks into their existing operations to navigate the complex regulatory landscape.
The podcast discusses the compliance risks associated with data during artificial intelligence (AI) processing, emphasizing the challenges of managing proliferating datasets. Mathieu Gorge, CEO of Vigitrust, highlights the importance of understanding data flow and maintaining compliance as organizations increasingly adopt AI technologies.
The post discusses the importance of protecting confidential information when using AI tools, emphasizing the risks associated with sharing sensitive data. It highlights the need for users to be cautious about the information they provide to AI systems, particularly in professional settings where privacy and legal implications are at stake.
At IAPP’s Global Privacy Summit, industry leaders emphasized the urgent need for collaboration between privacy professionals and IT teams as AI adoption accelerates. They highlighted that effective AI governance requires diverse expertise to ensure compliance and mitigate risks associated with new technologies.
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