AI in Litigation explores how businesses must navigate discoverability, privilege, and risk when using artificial intelligence tools in legal matters. It provides essential guidance on protecting sensitive information and managing compliance challenges.
EU AI Act reform negotiations collapsed after 12 hours, leaving a critical enforcement deadline looming and prompting a fresh round of talks in May. The dispute centers on whether existing EU safety-regulated industries should also comply with the AI Act’s new requirements.
The AMF’s new Guideline, effective May 1, 2027, sets out governance, risk‑management, and client‑fairness expectations for Quebec financial institutions using AI systems. It requires a board‑level AI framework, risk‑based classification, lifecycle controls, and clear client disclosures to ensure responsible AI deployment.
Billionaire Chris Larsen is spending $3.5 million to back New York candidate Alex Bores in a high-stakes House primary centered on AI regulation. The race pits pro-regulation forces against a super PAC linked to OpenAI, making it one of the most expensive Democratic primaries in the country.
Vedder has partnered with AIQA Global to undergo an independent assessment of its enterprise AI governance using the AIQ™ score methodology. The evaluation will benchmark Vedder’s current program, identify improvement priorities, and provide measurable assurance of responsible AI use.
The trial pits Elon Musk against OpenAI, questioning whether the nonprofit’s charitable assets were lawfully converted into a commercial enterprise. The outcome could reshape governance standards for frontier AI companies and impose significant legal and financial repercussions across the industry.
AI can boost hiring efficiency but also creates legal risks if used without safeguards; employers must validate, monitor, and maintain human oversight of AI tools. Implementing transparency, bias testing, and clear documentation helps ensure compliance with emerging state and federal regulations.
The article explains how the EU MDR and AI Act currently assign overlapping responsibilities to manufacturers (as defined by the MDR) and providers (as defined by the AI Act) for AI‑based medical devices, and outlines how a proposed 2025 EU regulation would simplify this by placing AIMDs solely under the MDR. It also highlights the distinction between MDR “users” (individual clinicians or patients) and AIA “deployers” (organizations with authority over AI system use), and discusses the potential regulatory impact of the upcoming legislative changes.
The post discusses the urgent need to embed ethical principles into AI design and evolution, proposing a framework that combines Ethics by Design with Ethics by Evolution to ensure transparency, accountability, and societal benefit. It emphasizes inclusive stakeholder involvement and continuous monitoring throughout the AI lifecycle to mitigate biases and uphold environmental responsibility and sovereignty.
The webinar will explore how broadcasters must ensure AI transparency and credibility, covering emerging regulations like the EU AI Act that demand clear disclosures and human oversight. It will provide practical guidance on implementing explainability and compliance measures to maintain audience trust in AI-driven media.
