🔬 Research summary by Bernard Koch, a sociologist of science who studies organizational issues in scientific fields and their epistemic and ethical repercussions. He is currently a Postdoctoral Fellow at Northwestern … [Read more...] about Reduced, Reused, and Recycled: The Life of a Benchmark in Machine Learning Research
Design
Examining the Impact of Provenance-Enabled Media on Trust and Accuracy Perceptions
🔬 Research summary by Kevin Feng, a PhD student in human-computer interaction at the University of Washington, where his research focuses on enabling adaptive sociotechnical systems at scale through novel interfaces and … [Read more...] about Examining the Impact of Provenance-Enabled Media on Trust and Accuracy Perceptions
Tiny, Always-on and Fragile: Bias Propagation through Design Choices in On-device Machine Learning Workflows
🔬 Research summary by Wiebke Hutiri, a PhD candidate at Delft University of Technology, where she studies and develops responsible design practices for trustworthy AI [Original paper by Wiebke (Toussaint) Hutiri, … [Read more...] about Tiny, Always-on and Fragile: Bias Propagation through Design Choices in On-device Machine Learning Workflows
Governing AI to Advance Shared Prosperity
🔬 Research Summary by Katya Klinova, the Head of AI, Labor and the Economy at the Partnership on AI, where she works on developing mechanisms for steering AI in service of improving job access and job … [Read more...] about Governing AI to Advance Shared Prosperity
Augmented Datasheets for Speech Datasets and Ethical Decision-Making
🔬 Research Summary by Orestis Papakyriakopoulos, a research scientist in AI ethics at Sony AI. His research provides ideas, frameworks, and practical solutions towards just, inclusive and participatory socio-algorithmic … [Read more...] about Augmented Datasheets for Speech Datasets and Ethical Decision-Making