We are looking forward to the upcoming round-table discussion on algorithmic accountability in India, being hosted by Divij Joshi, in collaboration with MediaNama, next week. We have a stellar line-up of speakers, including Dr. Anupam Saraph, Kumar Sambhav Shrivastava, Parminder Jeet Singh, Rahul Narayan, Urvashi Aneja, Vidushi Marda, and Vrinda Bhandari. The discussion will be facilitated by Divij Joshi, tech policy fellow at Mozilla, Siddharth Sonkar, final year student at NUJS, and Soumyarendra Barik, journalist at MediaNama. We are opening the event to a select list of invitees to observe and pose questions to the speakers. The aim is to discuss and disseminate strategies for the participatory governance, transparency and accountability of algorithmic systems. If you wish to observe the discussion, you can apply to attend the session. Divij has also put together a reading list to add some context on this matter. Reading List Thinking About Algorithms and the Law Algorithmic Accountability Policy Toolkit [Read] Guidelines on Automated individual decision-making and Profiling under the GDPR [Read] How to Hold Algorithms Accountable [Read] Playing with the Data: What Legal Scholars Should Learn About Machine Learning [Read] Due Process and Algorithmic Accountability Big Data Should be Regulated By Technological Due Process [Read] The Scored Society: Due Process for Automated Predictions [Read] Algorithmic accountability reporting: On the investigation of black boxes [Read] Administration by Algorithm? Public Management Meets Public Sector Machine Learning [Read] Fairness, Transparency and Explainability of Algorithms "Explaining explanations in AI." Proceedings of the conference on fairness, accountability, and transparency [Read] What Does a Fair Algorithm…
