Prof. Benjamin Rosman leads Africa's largest AI lab at Wits & founded the MIND Institute. Co-founder of Deep Learning Indaba, National Geographic Explorer, CIFAR Scholar, with 120+ publications shaping AI across Africa and beyond.
Benjamin Rosman is a Professor in the School of Computer Science and Applied Mathematics at the University of the Witwatersrand, South Africa, where he leads the Robotics, Autonomous Intelligence and Learning (RAIL) Laboratory — the largest AI research lab in Africa — and serves as Director of the National E-Science Postgraduate Teaching and Training Platform (NEPTTP). In 2024, he became the founding Director of the Machine Intelligence and Neural Discovery (MIND) Institute at Wits, dedicated to advancing the fundamental science of intelligence across machines, humans, and animals, and also serves as Chief Science Officer of Lelapa AI, an initiative building AI for Africans, by Africans. He holds a Ph.D. in Informatics and an M.Sc. in Artificial Intelligence from the University of Edinburgh, alongside dual Honours degrees in Computer Science and Applied Mathematics from the University of the Witwatersrand. His research specializes in reinforcement learning, autonomous decision-making, and knowledge transfer across related tasks. A co-founder of the Deep Learning Indaba machine learning summer school — now active across 47 African countries — Rosman is a 2024 National Geographic Explorer, a 2022 CIFAR Azrieli Global Scholar, a 2017 Google Faculty Research Award recipient in machine learning, a 2021 Google Africa Research Award recipient, and a Senior Member of the IEEE. He serves on the Advisory Committee of the Reinforcement Learning Conference, the AAAI Membership Committee, the IEEE Cognitive and Developmental Systems Technical Committee, and the Scientific Committee of the Association of AI Ethicists. With over 120 publications in top-tier machine learning venues, supervision of more than 85 MSc and PhD students, and approximately 200 academic, corporate, and public talks delivered worldwide, Benjamin Rosman stands as one of Africa's most influential voices in artificial intelligence and machine learning research.
Sessions
What I learned from training my robot
In this session, participants will acquire tools to understand and enhance their personal and professional decision-making processes by applying lessons learned from training artificial intelligence and robots. Every day, individuals are inundated with an overwhelming array of information that they must interpret to function effectively: a challenge akin to that faced by robots, which must decipher vast amounts of visual data to navigate and solve complex tasks. By drawing on techniques used to improve AI and robotic performance, the session will provide strategies for participants to better manage their daily complexities.
Participants will explore the problems encountered by autonomous agents and see how these issues map onto human cognitive processes. The session will demonstrate how methods from fields such as computer vision and reinforcement learning can be adapted to support human intelligence. Through practical examples, attendees will learn how to implement these techniques in their own lives.
This session is ideal for professionals, educators, and anyone interested in deepening their understanding of their own intelligence by learning from advancements in artificial intelligence. Attendees will leave with actionable insights and strategies to enhance their decision-making abilities by leveraging principles derived from AI and robotics.