DataFramed

#159 Building Trustworthy AI with Beena Ammanath, Global Head of the Deloitte AI Institute

Oct 16, 2023
Beena Ammanath, Global Head of the Deloitte AI Institute and author of "Trustworthy AI," discusses the pressing need for responsible AI in today’s organizations. She emphasizes balancing innovation with ethical considerations and the importance of transparency in AI applications. Beena highlights the value of diverse stakeholder involvement in assessing AI risks and establishing trust through explainable systems. She also delves into the evolving AI regulatory landscape, advocating for tailored approaches to ensure the technology benefits society.
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INSIGHT

Trustworthy AI in the Enterprise

  • Trustworthiness in AI encompasses ethics, responsibility, accountability, and transparency.
  • User trust and adoption are crucial for AI product success in the enterprise.
ADVICE

Applying Trustworthy AI Dimensions

  • Identify relevant trustworthy AI dimensions for your use case and define metrics for each.
  • Determine the acceptable level of bias based on the use case’s impact.
ADVICE

Stakeholder Involvement in Bias Decisions

  • Involve stakeholders beyond the tech team to define acceptable bias levels.
  • Include business leaders, legal, and risk management for informed decisions.
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