Adversarial machine learning (AML) poses significant legal challenges for organizations, particularly regarding privacy compromise attacks in Predictive AI and prompt injection attacks in Generative AI, necessitating careful compliance with regulations like Gramm-Leach-Bliley and HIPAA while managing risks through contractual provisions and internal policy revisions.
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The TAKE IT DOWN Act, passed by Congress, establishes federal offenses for the creation and distribution of non-consensual intimate imagery, including AI-generated deepfakes, while mandating prompt removal by online platforms and allowing victims to seek damages, thereby addressing significant gaps in existing legal protections.
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Recent research reveals significant risks associated with AI companion chatbots for minors, prompting state-level legislative initiatives across the U.S. aimed at restricting access, enhancing safety measures, and addressing mental health concerns, while the federal government remains inactive on the issue.
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The European Commission is enhancing AI literacy among individuals and organizations involved with AI systems, as mandated by the AI Act, to ensure responsible deployment and compliance across all risk tiers in the EU.
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In the ongoing case Kadrey v. Meta Platforms Inc, authors claim the company unlawfully used their copyrighted works to train its AI model, raising significant legal questions about fair use and market impact in the context of copyright law.
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The White House’s Office of Management and Budget has issued memoranda M-25-21 and M-25-22, establishing new governance and acquisition guidelines for high-impact AI within US federal agencies, emphasizing risk management, transparency, and the prioritization of American-made AI technologies.
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Governor Jared Polis signed SB24-205, the first law in the U.S. regulating AI to prevent algorithmic discrimination, establishing consumer protections and transparency requirements, while also prompting discussions on potential amendments to balance innovation and competitiveness.
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The OECD is establishing frameworks and principles to address key policy issues such as data governance, privacy, and the unique challenges of generative AI, emphasizing the need for accountability and collaboration among stakeholders to ensure responsible development and deployment of AI technologies.
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Recent evaluations highlight significant risks posed by social AI companion chatbots to minors, prompting legislative measures in California and Arkansas aimed at establishing safety standards and regulations to protect young users from potential harms.
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The White House’s Office of Management and Budget has released two memoranda establishing new standards for the evaluation, adoption, and procurement of artificial intelligence technologies within federal agencies, emphasizing responsible governance, risk management, and compliance with state legislation.
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The ACLU, alongside Public Justice and Eisenberg & Baum, has filed a complaint against Intuit and HireVue in Colorado, alleging violations of the Colorado Anti-Discrimination Act, the Americans with Disabilities Act, and Title VII of the Civil Rights Act due to discriminatory practices in AI interviewing tools affecting marginalized groups.
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