🔬 Research Summary by Ding Wang, a senior researcher from the Responsible AI Group in Google Research, specializing in responsible data practices with a specific focus on accounting for the human experience and … [Read more...] about Whose AI Dream? In search of the aspiration in data annotation.
Application & Adoption
Connecting the dots in trustworthy Artificial Intelligence: From AI principles, ethics, and key requirements to responsible AI systems and regulation.
🔬 Research Summary by 1) Natalia Díaz Rodríguez, 2) Javier Del Ser, 3) Mark Coeckelbergh, 4) Marcos López de Prado, 5) Enrique Herrera-Viedma, and 6) Francisco Herrera 1) Assistant Professor, University of … [Read more...] about Connecting the dots in trustworthy Artificial Intelligence: From AI principles, ethics, and key requirements to responsible AI systems and regulation.
Measuring Surprise in the Wild
🔬 Research Summary by Azadeh Dinparastdjadid, a senior research scientist at the Safety Research and Best Practices team at Waymo, where she explores road user behavior modeling to establish behavioral … [Read more...] about Measuring Surprise in the Wild
Going public: the role of public participation approaches in commercial AI labs
🔬 Research Summary by Lara Groves, a Researcher at the Ada Lovelace Institute, where she researches emerging AI accountability mechanisms and practices [Original paper by Lara Groves, Aidan Peppin, Andrew Strait, … [Read more...] about Going public: the role of public participation approaches in commercial AI labs
Clinical trial site matching with improved diversity using fair policy learning
🔬 Research Summary by Rakshith Sharma Srinivasa, who obtained his PhD from Georgia Institute of Technology in 2020 and his research interests include multimodal machine learning, compressed sensing and high dimensional … [Read more...] about Clinical trial site matching with improved diversity using fair policy learning