OpenAI is being sued by a coalition of five major Canadian media organizations for allegedly scraping their copyrighted content without permission to develop its AI products, raising significant questions about copyright law and fair use in the context of artificial intelligence.
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A recent report reveals that only 10% of law firms and 21% of corporate legal teams have established formal policies for the use of generative AI, despite widespread recognition of its potential and significant concerns regarding ethics, security, and the need for regulation within the legal sector.
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The Bank of England and the Financial Conduct Authority are preparing for regulatory initiatives in 2025 to address the rapid adoption of AI in the financial services sector, focusing on governance frameworks, accountability, and the management of associated risks such as cybersecurity and algorithmic bias.
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The Hong Kong Securities and Futures Commission has released comprehensive guidelines for licensed corporations to ensure responsible use of generative AI language models, focusing on cybersecurity risks and compliance for high-risk applications such as investment recommendations.
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The Canadian Legal Information Institute (CanLII) has filed a lawsuit against the AI-driven legal research platform Caseway, alleging unauthorized data scraping of its copyrighted content, raising significant issues regarding copyright and data usage in the legal technology sector.
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The European Data Protection Supervisor and the Data Protection Officer network convened to address compliance with Regulation (EU) 2018/1725 and the AI Act Proposal, emphasizing accountability, user rights, and robust data protection measures within EU institutions.
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The deployment of AI systems raises significant legal considerations regarding privacy, security, and governance, necessitating collaborative efforts from governments, organizations, and civil society to establish robust regulatory frameworks and promote trustworthy practices across various jurisdictions.
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Federal Reserve Governor Michelle W. Bowman emphasizes the need for a balanced regulatory framework to harness the benefits of AI in financial services while addressing risks related to data privacy, fair lending, and systemic stability.
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The Global Partnership on AI’s Responsible AI Working Group has released a report promoting gender equality and diversity in AI, emphasizing the need for inclusive design and robust governance frameworks to prevent societal inequalities.
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The FDA’s ongoing efforts to regulate AI-enabled medical devices highlight significant challenges, including regulatory gaps, the need for comprehensive frameworks, and ethical concerns related to bias and safety, as it seeks to ensure the effectiveness of these rapidly evolving technologies.
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California’s AB-2013 introduces stringent disclosure requirements for developers of generative AI systems regarding dataset usage, presenting both compliance challenges and opportunities for competitive differentiation in the evolving regulatory landscape.
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The New York State Department of Financial Services has released a memorandum under its Cybersecurity Regulation addressing the cybersecurity risks associated with artificial intelligence, emphasizing the need for Covered Entities to implement robust risk assessments and data management practices to mitigate evolving threats.
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