A recent Gartner survey revealed that over 70% of IT leaders worry about regulatory compliance as a significant issue in adopting generative AI. However, less than a quarter of respondents expressed confidence in effectively managing security, governance, and compliance challenges related to its usage.
As AI regulation moves forward, the anticipation of increasing legal disputes in the tech sector suggests that organizations may face significant hurdles. The recent EU AI Act marks a primary legislative attempt to directly regulate AI use, while varying approaches in US states underline the complexities faced by organizations. The Texas Responsible Artificial Intelligence Governance Act and California’s Transparency in Frontier Artificial Intelligence Act impose strict compliance requirements and potential penalties, highlighting the need for effective governance tools that can adapt to varying regulation across jurisdictions.
Moreover, current governance solutions may not keep pace with these evolving requirements, potentially complicating compliance efforts. IT leaders must maintain a granular understanding of laws while leveraging comprehensive governance controls to ensure effective risk management as the regulatory environment becomes increasingly fragmented and complex.
👉 Pročitaj original: CIO Magazine
