Unverified50% confidenceFactExact time
The 'Responsible AI' framework typically covers dimensions such as fairness, explainability, privacy protection, and safety.
1
Sources
50%
Confidence
Long-term
Relevance
9/11/2026
First Seen
Sources
Related Entities
Related Claims
UnverifiedThe question of AI liability attribution is commonly evaded through instrumentalism by characterizing AI as a tool rather than an agent, thereby transferring responsibility to the user.77% similarVerifiedThe EU Artificial Intelligence Act (AI Act) explicitly requires that high-risk AI systems must have human oversight and intervention capabilities.74% similarVerifiedUnder the AI Act, high-risk AI systems must meet requirements for technical documentation, automatic logging, transparency obligations, and human oversight mechanisms, with logs required to be capable of reproducing the complete decision chain that led to a specific output.74% similarUnverifiedIn core modules involving security and reliability—such as identity authentication, payment processes, and concurrency control—manual design and review cannot be replaced by AI.74% similarUnverifiedMainstream solutions for trust and authorization in AI agent products include human-in-the-loop mechanisms, progressive trust models, and auditability.73% similar
Cite This Claim
Stable URI
https://kongchang.com/claim/904090API
curl https://kongchang.com/api/v1/knowledge/claims/904090MCP
get_claim(id=904090)