This post explores how artificial intelligence (AI) is transforming industries while introducing significant new risks that extend beyond traditional IT risk management. Here we will foucus on AI’s “black box” nature, rapid adoption, and unique challenges (e.g., bias, privacy issues, and emergent behaviors) require organizations to adopt enhanced risk management strategies, including AI-specific controls, governance structures, and legal compliance measures. Relying solely on acceptable use policies is insufficient; instead, a “reasonable care” approach, informed by legal standards like the business judgment rule, is essential to mitigate liabilities and ensure ethical deployment. The piece emphasizes the need for ongoing inventories, risk assessments, and tailored life cycles for AI systems, concluding that organizations must evolve their practices to handle AI’s systemic impacts responsibly.
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