Responsible and Ethical Governance of AI Models
summary
PwC argues responsible AI must combine ethics and governance with performance checks, citing a market of roughly 13% of $2.6B in consulting now rising to ~17% soon. It prescribes a nine-step process and three lines of defense (creators, managers, auditors), five risk dimensions, and ethics pillars of fairness explicability prevention of harm. Practical takeaways: codify acceptance criteria up front, document ROI for low‑frequency prevention models, validate and monitor continuously, and revalidate models after shocks like COVID.
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chapters (7)
- 0:00Introduction
- 1:48The need for responsible AI
- 6:16Three questions to consider
- 8:30Principles of fairness
- 15:13Governance
- 21:17The ninestep process
- 27:57Deployment
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