✍️ Article by Avantika Bhandari, SJD. Her research areas cover indigenous knowledge and its protection, human rights, and intellectual property
The Ethical Need for Watermarks in Machine-Generated Language
🔬 Research summary by Connor Wright, our Partnerships Manager. [Original paper by A. Grinbaum and L. Adomaitis] Overview: With the
Unstable Diffusion: Ethical challenges and some ways forward
✍️ Founder's Desk column by Abhishek Gupta, Founder and Principal Researcher at the Montreal AI Ethics Institute. In a potentially prescient
Bots don’t Vote, but They Surely Bother! A Study of Anomalous Accounts in a National Referendum
🔬 Research Summary by Eduardo Graells-Garrido and Ricardo Baeza-Yates. Eduardo Graells-Garrido is Assistant Professor at the Department of
Routing with Privacy for Drone Package Delivery Systems
🔬 Research Summary by Geoffrey Ding, a graduate student at the Massachusetts Institute of Technology conducting research on advanced air mobility.
GAM(e) changer or not? An evaluation of interpretable machine learning models
🔬 Research Summary by Patrick Zschech, Sven Weinzierl, Nico Hambauer, Sandra Zilker, and Mathias Kraus. Patrick Zschech is an Assistant
Sociotechnical Specification for the Broader Impacts of Autonomous Vehicles
🔬 Research Summary by Thomas Krendl Gilbert, a Postdoctoral Fellow at Cornell Tech’s Digital Life Initiative, and has a Ph.D. in Machine Ethics and
Responsible and Regulatory Conform Machine Learning for Medicine: A Survey of Challenges and Solutions
🔬 Research Summary by Eike Petersen, a Postdoc in the Department of Applied Mathematics and Computer Science in Visual Computing. [Original
Now I’m Seen: An AI Ethics Discussion Across the Globe
🔬 Event summary by Connor Wright, our Partnerships Manager. Overview: A summary of our panel discussion “Now I’m Seen: An AI Ethics
Ethics of AI in Education: Towards a Community-wide Framework
🔬 Research Summary by Wayne Holmes, a learning sciences and innovation researcher who teaches at University College London, is a consultant researcher
Performative Power
🔬 Research Summary by Meena Jagadeesan and Celestine Mendler-Dünner. Meena Jagadeesan is a PhD student in Computer Science at UC Berkeley. Her
FaiRIR: Mitigating Exposure Bias from Related Item Recommendations in Two-Sided Platforms
🔬 Research Summary by Abhisek Dash, a PhD student (TCS Research Fellow) at the Department of Computer Science and Engineering, Indian Institute of