Trustworthy AI : De-risk business adoption of AI
How does Trustworthy AI help De-risk business adoption of AI?
Oct 27, 2023
Da-Wyone Haynes discusses the impact of Trustworthy AI on business adoption. They explore the 8 essential pillars of Trustworthy AI, examples of failed AI initiatives, and operationalizing AI governance to de-risk adoption. The podcast delves into the importance of transparency, security, explainability, and mitigating bias in AI systems.
31:30
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Quick takeaways
- Trustworthy AI is built on 8 essential pillars including security, privacy, transparency, explainability, audit, regulations, accountability, and ethics.
- Explainability and transparency are crucial in AI systems to prevent failures like BlackRock's AI model being shelved for lack of understanding its decisions.
Deep dives
The Eight Essential Pillars of Trustworthy AI
Trustworthy AI relies on eight essential pillars including security, privacy, transparency, explainability, audit, regulations, accountability, and ethics. These pillars form the foundation of AI systems, ensuring resilience and validity. Depending on the context, the relevance of each pillar may vary, with ethics considered a part of the overall trustworthy framework.
