The rapid growth of generative AI has ushered in significant advancements across various industries, while simultaneously posing risks that demand attention. This article delves into the essentials of risk management in generative AI, using practical examples to illustrate model risk assessment. We
In the landscape of mass claims litigation, characterized by the extensive and multifaceted data generated through products liability, environmental torts, and employment claims, leveraging advanced technologies has become essential. Generative artificial intelligence (GenAI) emerges as a pivotal
Kolkata Police is poised to revolutionize the city’s security framework by integrating artificial intelligence (AI) into its CCTV surveillance system, enhancing urban policing. This initiative leverages advanced technology to not only monitor but also actively analyze surveillance footage in
The integration of artificial intelligence (AI) and machine learning (ML) within the financial services sector represents a transformative shift, particularly in the field of risk management. These advanced technologies enable financial institutions to analyze vast datasets quickly and with
The increasing integration of artificial intelligence (AI) in various sectors has prompted an urgent call for enhanced cybersecurity measures. Rachel Tobac, CEO of SocialProof Security, highlighted this pressing issue during her keynote address at the recent Legalweek conference. Tobac, a
Artificial Intelligence (AI) has seen exponential advancements, making it imperative to establish responsible regulations. The California Frontier AI Working Group recently issued a report focusing on the governance of foundation models. This report, built on collaborations with top academic
