Agentic AI systems might take unforeseen actions leading to negative outcomes. Setting foundational principles that anticipate and mitigate unintended consequences, including fail-safe mechanisms and contingency planning, remains an open challenge. This requires comprehensive risk assessment methods integrated into the design.
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