Algorithmic Management, Employment Law and Discrimination Law with iManage's Sangh Rakshita
The rise of algorithmic management has allowed for new ways to measure, control, and sanction workers. Yet, it is unclear how employment law and discrimination law can respond to a world where automation has not replaced workers, but their bosses. In this episode, Rach interviews Sangh Rakshita from iManage, a pioneering project based in the Bonavero Institute of Human Rights funded by the European Research Council. iManage intends to develop the first systematic account of the challenges and potential of algorithmic management, examine its implications for legal regulation, and develop concrete solutions to avoid harmful path-dependencies. iManage is led by Prof Jeremias Adams Prassl and comprises Halefom Abraha, Six Silberman, Sangh Rakshita, and Aislinn Kelly-Lyth. Sangh Rakshita completed her BCL in law at Oxford, and has previously consulted with organisations such as the United Nations Development Programme and the Human Rights Watch. She also teaches Regulation of Internet Technologies for Stanford University, and has worked as a law and technology researcher at the Centre for Communication Governance, India and as a legislative assistant in the Parliament of India. Articles mentioned: Adams-Prassl, J., Abraha, H., Kelly-Lyth, A., Silberman, M. ‘Six’, & Rakshita, S. (2023). Regulating algorithmic management: A blueprint. European Labour Law Journal, 14(2), 124-151. https://doi.org/10.1177/20319525231167299 Reuben Binns, Jeremias Adams-Prassl and Aislinn Kelly-Lyth. 2023. Legal Taxonomies of Machine Bias: Revisiting Direct Discrimination. In 2023 ACM Conference on Fairness, Accountability, and Transparency (FAccT '23), June 12-15, 2023, Chicago, IL, USA. ACM, New York, NY, USA, 14 Pages. https://doi.org/10.1145/3593013.3594121 Autogenerated transcript available at: https://rss.com/podcasts/oulp/1341032/