AI Risk Management | Deloitte Experts Crowthers & Knackstedt
- Organizations must recognize that effective AI risk management isn't just the domain of cybersecurity or legal teams; it's a company-wide responsibility.
- Integrating AI governance into existing risk frameworks is essential, they noted.
- Crowthers and Knackstedt also explored the risks associated with AI agents, including unpredictable behavior, misaligned learning, and difficulties in tracing context.
Navigating AI Risk Management: Governance,Ethics,and compliance
Updated May 28,2025
Organizations must recognize that effective AI risk management isn’t just the domain of cybersecurity or legal teams; it’s a company-wide responsibility. Experts at Deloitte & Touche, Michael Crowthers and Chris knackstedt, recently discussed the significant hurdles in AI adoption,pinpointing governance,ethics,and compliance as primary concerns.
Integrating AI governance into existing risk frameworks is essential, they noted. Companies also need to navigate regulatory uncertainties,address talent shortages,and establish ethical usage policies.
Crowthers and Knackstedt also explored the risks associated with AI agents, including unpredictable behavior, misaligned learning, and difficulties in tracing context. They emphasized the critical need for human oversight and thorough evaluations of AI behavior.
Organizations must recognize that AI risk management is a shared responsibility across the entire organization, not solely confined to cybersecurity, legal, or compliance teams.
What’s next
Looking ahead, Crowthers anticipates a surge in governance technology designed to manage evolving AI risks. Knackstedt encourages organizations to leverage their existing cybersecurity infrastructure and maintain momentum in their AI strategies.