Trust, Governance, and AI Decision Making

IBM's Global Leader on Responsible AI and AI Governance, Francesca Rossi, arrived at her current area of focus after a 2014 sabbatical at the Harvard Radcliffe Institute, which inspired her to think beyond her training as an academic researcher and incorporate both humanistic and technological perspectives into the development of AI systems. In the intervening years, she helped build IBM's internal AI Ethics Board and foster external partnerships to shape best practices for responsible AI. Here, we talk about trust, governance, and what these issues have to do with AI decision making. The ethical issues around the use of AI evolved with the technology's capabilities. Traditional machine learning approaches introduced issues like fairness, explainability, privacy, transparency, and so on.