THE CNM PODCAST | Algorithmic Bias

Assistant Professors Kokil Jaidka, Chao Yu and Subhayan Mukerjee of NUS Communications and New Media review the state of algorithmic bias today and discuss approaches to mitigating its impact on the real world.

Key Points
01:20 The definition of algorithmic bias, the different types of algorithmic bias, and the factors that could cause or amplify algorithmic bias.

06:40 The effects of algorithmic bias – examples in the real world
15:20 Solutions for mitigating the impact of algorithmic bias
33:30 Challenges posed by algorithmic bias in the future and what our response should be

THE CNM Podcast Host: Assistant Professor Subhayan Mukerjee
Dr Subhayan Mukerjee is a computational social scientist who situates his research at the intersection of digital media and online human behaviour. His work draws from a wide repertoire of computational methods that blend observational as well as experimental approaches – such as network analysis, statistical inference, and agent-based simulations to understand how digital audiences navigate online media environments. In addition to his research, Dr Mukerjee develops and teaches quantitative and computational modules for undergraduates, and postgraduate students at CNM. He also serves as lead organiser of the Singapore chapter of the Summer Institutes in Computational Social Science - the first such chapter in South East Asia.