If you’re interested in presenting your work at the TrustAI Workshop, please submit your extended abstract here [http://bit.ly/trustaicmt] before June 25th, 2025, 23:59 AoE

Zambia’s National AI Strategy by bringing critical perspectives on responsible AI, ethics, inclusion, diversity and equitable AI development, access and use

Dr Wakunuma has facilitated and conducted AI training workshops aimed at parliamentarians, policymakers and civil society organisations in the Global South and has contributed to

the UN Academic Impact Commission as well as the African Commission’s Human and People’s Rights on AI and other Emerging Technologies, where her insights inform and inspire cross-sector conversations on AI, ethics and society.

Dr Wakunuma is a passionate advocate for an inclusive and globally representative AI discourse and is frequently invited to speak at high-level international forums, including the UNs Science Summit of the General Assembly;

Dr Wakunuma is also a member of UNESCO’s Women for Ethical AI as well as UNESCO’s AI Ethics Experts Without Borders. She is recognised among the Top 100 Brilliant Women in AI Ethics in the 2025.

She has co-edited influential books including Responsible AI in Africa and Trustworthy AI: African Perspectives. Dr Wakunuma serves as a European Commission Ethics Advisor and Evaluator. She is a member of Centre for AI and Digital Policy (CAIDP) Global Academic Network.

‬ and Co-Director of the Centre for Computing and Social Responsibility. She specialises in the social and ethical implications of emerging technologies, responsible innovation and AI governance in both the Global North and the Global South.

He is currently the general chair for the 2025 AAAI/ACM Conference on Artificial Intelligence, Ethics, and Society.If you’re interested in presenting your work at the TrustAI Workshop, please submit your extended abstract here [http://bit.ly/trustaicmt] before June 25th, 2025, 23:59 AoE

He applies data science and predictive analytics to human capital management, healthcare, olfaction, computational creativity, public affairs, international development, and algorithmic fairness,which has led to independently-published a book entitled 'Trustworthy Machine Learning' in 2022.

He was a visiting scientist at IBM Research - Africa, Nairobi, Kenya in 2019. He was the founding co-director of the IBM Science for Social Good initiative from 2015-2023.

@krvarshney.bsky.social is an IBM Fellow based at the Thomas J. Watson Research Center, Yorktown Heights, NY, where he directs Human-Centered Trustworthy AI research.

Koyejo serves on the Neural Information Processing Systems Foundation Board, the Association for Health Learning and Inference Board, and as president of the
@Black in AI Board.

Koyejo has been the recipient of several awards, including a Skip Ellis Early Career Award, a Presidential Early Career Award for Scientists and Engineers (PECASE), and a Sloan Fellowship.

At Stanford, Koyejo leads the Stanford Trustworthy Artificial Intelligence (STAIR) lab, which works to develop the principles and practice of trustworthy AI, focusing on applications to science and healthcare.