This article explores the legal and ethical implications of using AI-generated evidence in litigation, emphasizing the importance of reliability, transparency, and proposed Rule 707’s impact on expert testimony admissibility.
California’s new law requires companies to integrate AI risk assessments into their enterprise risk evaluations by December 31, 2027. Legal experts emphasize the urgency for organizations to implement governance frameworks now to ensure compliance amid heightened regulatory scrutiny.
New York has introduced regulations on AI-generated performers and postmortem digital replicas. These guidelines address ethical concerns and legal implications that higher education institutions must understand to ensure responsible AI usage in arts and education.
Bain & Company, in collaboration with the World Governments Summit, has launched the AI Readiness Tool to help governments assess their artificial intelligence preparedness and identify actionable steps for adoption. This tool categorizes organizations into four levels of readiness, providing a comprehensive roadmap for scalable and responsible AI integration.
As federal attempts to create a comprehensive U.S. AI law stall, state regulators are actively shaping AI governance by enforcing consumer privacy laws, focusing on profiling restrictions and managing a fragmented regulatory environment.
A recent global study reveals that artificial intelligence is the primary force reshaping application security by driving new practices to secure AI-generated code amid increasing regulatory demands. The study also highlights a rise in software bill of materials production and automation in security verification, signaling a shift toward mature security programs.
California’s Senate Bill 813 proposes creating a commission to recognize private organizations that develop AI safety standards and evaluate AI models, aiming to address concerns around AI safety with a voluntary compliance system.
As we enter 2026, the emergence of the Sovereign AI Stack is reshaping multinational enterprises’ IT strategies, driven by geopolitical events. Predictions indicate that by 2028, 60% of firms will split AI stacks across sovereign zones, forcing companies to navigate increased integration costs and compliance challenges in a fragmented technological landscape.
This article explores the complexities of global AI governance using a proposed three-layer framework inspired by internet governance, highlighting recent initiatives and the challenges of coordinating policies across multiple actors and layers in the rapidly evolving AI landscape.
As AI adoption grows across finance functions, CFOs are prioritizing investments in data automation and robust AI governance. Recent surveys highlight the necessity of dedicated budgets and IT support to ensure data quality, accountability, and effective decision-making.
