ABBA’s Björn Ulvaeus and other EU creators are advocating for creators’ rights in the generative AI market, highlighting concerns over potential loss of ownership of their works under the EU’s AI Act. They emphasize the need for legislation that protects creators’ interests while fostering innovation in the tech industry.
Japan’s AI governance strategy for 2025 adopts a ‘light touch’ regulatory approach, favoring existing sector-specific laws and voluntary risk mitigation by businesses over strict regulations. This shift aims to position Japan as the most AI-friendly country in the world, reflecting evolving global attitudes towards AI regulation amidst a heated international AI race.
As artificial intelligence (AI) continues to evolve, organizations must prioritize safe practices to mitigate security risks, including personal data privacy concerns. A recent compliance survey revealed that while many companies utilize AI, only a portion have established policies to address data protection and governance.
As artificial intelligence transforms healthcare, organizations must navigate the associated risks and ethical dilemmas without robust governance, risk management, and compliance frameworks. Newton3 specializes in helping healthcare leaders ensure that AI deployments are impactful, accountable, and aligned with regulatory standards.
As AI reshapes Singapore and the world, organizations must address the array of risk management challenges that this transformative technology brings. A standardized approach incorporating global consensus is essential for guiding organizations in balancing innovation with effective risk management.
Society is undergoing a transformation driven by artificial intelligence (AI), which raises essential questions about how to maximize its benefits while minimizing risks. Key elements for AI success include robust infrastructure, an inclusive ecosystem, and effective governance to ensure that AI serves the broader interests of society.
The EU AI Act is setting a precedent as the world’s first comprehensive regulation for artificial intelligence, with phased implementation and complex compliance requirements. Key obligations focus on AI literacy and the prohibition of harmful practices, while the upcoming Code of Practice for general-purpose AI models is currently delayed.
A Canadian trade union has proposed that Thomson Reuters enhance its artificial intelligence governance framework to align with investors’ expectations regarding human rights and privacy. The proposal highlights the potential risks associated with AI technologies, including misuse and data privacy issues, urging shareholders to consider the increasing legal and reputational threats the company may face.
The integration of AI in healthcare presents significant benefits, but it also raises critical concerns regarding governance, risk management, and compliance. Ensuring robust frameworks are in place is essential to mitigate potential risks and protect patient data.
As artificial intelligence (AI) revolutionizes healthcare, organizations must navigate the accompanying risks and ethical dilemmas through robust governance, risk management, and compliance (GRC) frameworks. Newton3 specializes in guiding healthcare leaders to ensure that AI deployments are both effective and accountable, mitigating potential harm to patients and aligning with regulatory standards.
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