In 2024, the rise in mergers and acquisitions involving AI companies has led to increased regulatory compliance challenges, particularly concerning data management and the potential impact on deal valuations, as highlighted by actions from the Federal Trade Commission.
The upcoming scheduling conference for Jason Allen v Perlmutter will address copyright issues related to AI-generated visual works, following the Copyright Office’s denial of Allen’s registration claim due to the significant AI contribution in his creation, amidst evolving legal standards in this area.
Colorado’s Artificial Intelligence Act and California’s recent regulatory challenges highlight the shifting landscape of AI governance in the U.S., emphasizing the need for compliance with emerging frameworks focused on bias mitigation, safety, and oversight in high-stakes applications.
The incoming Trump administration’s anticipated deregulatory stance on artificial intelligence prioritizes innovation and economic growth while potentially undermining safety and privacy protections, creating uncertainty in both domestic and international AI governance.
The European Data Protection Board (EDPB) has released Opinion 28/2024, providing a framework for assessing the processing of personal data in AI models, particularly large language models, under the EU General Data Protection Regulation (GDPR) and highlighting the importance of privacy-preserving techniques and compliance with the forthcoming EU Artificial Intelligence Act.
Ongoing lawsuits involving AI companies like OpenAI and ROSS Intelligence against content publishers raise critical fair use questions, potentially altering the landscape of copyright law and the AI industry as courts navigate the complexities of intellectual property rights in the digital age.
