🔬 Research Summary by Stephan Schlögl, a professor of Human-Centered Computing at MCI - The Entrepreneurial School in Innsbruck (Austria), where his research and teaching particularly focuses on humans’ interactions with … [Read more...] about Tell me, what are you most afraid of? Exploring the Effects of Agent Representation on Information Disclosure in Human-Chatbot Interaction
Health
From Pretraining Data to Language Models to Downstream Tasks: Tracking the Trails of Political Biases Leading to Unfair NLP Models
🔬 Research Summary by Shangbin Feng, Chan Young Park, and Yulia Tsvetkov. Shangbin Feng is a Ph.D. student at University of Washington.Chan Young Park is a Ph.D. student at Carnegie Mellon University, studying … [Read more...] about From Pretraining Data to Language Models to Downstream Tasks: Tracking the Trails of Political Biases Leading to Unfair NLP Models
FeedbackLogs: Recording and Incorporating Stakeholder Feedback into Machine Learning Pipelines
🔬 Research Summary by Matthew Barker, a recent graduate from the University of Cambridge, whose research focuses on explainable AI and human-machine teams. [Original paper by Matthew Barker, Emma Kallina, … [Read more...] about FeedbackLogs: Recording and Incorporating Stakeholder Feedback into Machine Learning Pipelines
The path toward equal performance in medical machine learning
🔬 Research Summary by Eike Petersen, a postdoctoral researcher at the Technical University of Denmark (DTU), working on fair, responsible, and robust machine learning for medicine. [Original paper by Eike … [Read more...] about The path toward equal performance in medical machine learning
On the Challenges of Using Black-Box APIs for Toxicity Evaluation in Research
🔬 Research Summary by Luiza Pozzobon, a Research Scholar at Cohere For AI where she currently researches model safety. She’s also a master’s student at the University of Campinas, Brazil. [Original paper by Luiza … [Read more...] about On the Challenges of Using Black-Box APIs for Toxicity Evaluation in Research