This research project investigates how the EU Artificial Intelligence Act is transforming corporate governance and accountability frameworks, compelling companies to reconfigure responsibilities and anticipate liability throughout their structure. It highlights the need for a model of distributed accountability that reflects the increasing integration of operational decision-making with legal compliance.
Artificial intelligence is becoming essential for the risk function, helping chief risk officers (CROs) to navigate compliance and data governance challenges. With a growing number of organizations adopting AI technologies, it is crucial for CROs to develop effective AI strategies to manage risks and drive innovation.
In a surprising turn, the U.S. Senate voted overwhelmingly to eliminate a provision that would have imposed a federal moratorium on state regulations of artificial intelligence for the next decade. This decision came after Senator Marsha Blackburn withdrew her support for a compromise aimed at limiting the pause to five years.
The pharmaceutical industry is facing a significant compliance gap regarding AI data security, with only 17% of companies implementing automated controls to protect sensitive information. This lack of safeguards exposes 83% of organizations to serious risks, including regulatory violations and the potential loss of valuable intellectual property.
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