AI accountability refers to the obligation of individuals and organizations to take responsibility for outcomes produced by artificial intelligence systems. Since AI cannot experience consequences, humans must remain accountable for AI-generated content and decisions. Learn more about managed IT services that include AI governance frameworks.
Learn more about this in our recent AI Accountability & AI Hallucinations FAQ Blog here.
External Authority References
For deeper understanding of AI accountability frameworks, these high-authority resources provide comprehensive guidance:
- Carnegie Council – AI Accountability – Ethical frameworks for AI responsibility (DA: 61)
- Harvard DCE – Responsible AI Principles – Five key principles for organizational AI use (DA: 84)
- NTIA – AI Accountability Policy – Federal guidance on AI trustworthiness (DA: 91)
- Salesforce – AI Accountability – Enterprise approaches to AI governance (DA: 94)
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