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This session will discuss key regulatory, social, and cultural challenges of racial bias in designing and deploying AI/ML-based automated decision-making systems, focusing on the development implications for LMICs. After laying out the challenges, the panelists will discuss initiatives to mitigate the risks of racial bias in AI and challenges and opportunities to support their practical implementation in lower capacity contexts.
This session is divided into two panel discussions:
First Panel¡ªGeneral Counsels: A group of high-level General Counsels panelists will answer questions relating to the use of Artificial Intelligence (AI)-based technologies and/or automated decision-making systems in their beneficiary countries. Panelists will discuss whether, and if so, how this growing use of automated decision-making systems is leading to an increased awareness of the risks associated with the use of AI and ML-based systems, and how this has impacted their organizations.
Second Panel¡ªTechnical Experts: A group of technical expert panelists will present their views on key legal, social, and cultural challenges of racial bias in the design and deployment of Artificial Intelligence and Machine Learning-based automated decision-making systems, with a particular focus on the development implications for LMICs. The session will cover the risks and opportunities with these solutions, as well as exploring mechanisms that can be deployed to mitigate the risks associated with AI, including racial bias.