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DataFramed
#159 Building Trustworthy AI with Beena Ammanath, Global Head of the Deloitte AI Institute
Oct 16, 2023
38:48
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Beena Ammanath, Global Head of the Deloitte AI Institute, discusses the importance of self-regulation and building trustworthy AI, exploring dimensions of trustworthiness, bias, fairness, and reliability in AI systems. The podcast also delves into operationalizing AI risks and the evolving regulatory landscape for AI.
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Quick takeaways
- Trust is crucial for the success of AI products, and organizations should implement self-regulations to ensure trustworthiness.
- Involving stakeholders from different departments and considering specific use cases are key to addressing dimensions like fairness and bias in AI.
Deep dives
The Importance of Trustworthy AI
In this podcast episode, Adele interviews Bina Amunath, a technology trust and ethics leader at Deloitte, about the importance of building trustworthy AI. Bina emphasizes the significance of AI regulation and the need for organizations to implement self-regulations. She highlights that trust is a key factor in the success of AI products and discusses the core principles of Trustworthy AI, such as ethics, responsibility, accountability, and transparency. Bina also explores the dimensions of trustworthy AI, including fairness and bias, robustness and reliability, transparency, privacy, and safety and security. She emphasizes the need to consider these dimensions based on the specific use case and to involve stakeholders from various departments to make informed decisions about risk tolerance and accountability. Overall, Bina emphasizes that responsible and trustworthy AI is crucial for building trust, protecting privacy, and mitigating risks.
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