Category: Data Protection

Strengthening Data Protection and AI Governance in Singapore

Singapore is proactively addressing the challenges posed by data use in the age of artificial intelligence, emphasizing the need for robust data protection measures and the importance of adapting laws and social norms. Minister for Communications and Information Josephine Teo highlighted the role of data in the AI development lifecycle, while also stressing the necessity for independent testing to ensure generative AI applications function reliably.

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Texas Takes the Lead in Consumer-Focused AI Regulation

Texas has passed the Texas Responsible Artificial Intelligence Governance Act (TRAIGA), which aims to protect consumers while establishing regulations for businesses using artificial intelligence. This pioneering legislation emphasizes human-centeredness and transparency, requiring companies to disclose AI use and prohibiting harmful practices.

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Data Governance Essentials in the EU AI Act

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.

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Data Governance Essentials in the EU AI Act

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.

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Privacy Groups Urge Against Delays in AI Regulation

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.

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Clarifying GDPR Compliance for AI Training

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.

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Understanding the Impacts of the EU AI Act on Privacy and Business

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.

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OpenAI Academy: Balancing AI Innovation and Data Privacy in India

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.

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Rising Compliance Costs Amid AI Expansion

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.

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Gen AI Trends: Shaping Privacy and Compliance in 2025

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.

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