🔬 Research summary by Dr. Francesca Favaro, who leads the Safety Best Practices team at Waymo (prev. Google Self-Driving Car Project), where she manages the development of the company safety case and works on external … [Read more...] about Building a Credible Case for Safety: Waymo’s Approach for the Determination of Absence of Unreasonable Risk
Auditing for Human Expertise
🔬 Research summary by Rohan Alur, a second year PhD student in Electrical Engineering and Computer Science at MIT. [Original paper by Rohan Alur, Loren Laine, Darrick K. Li, Manish Raghavan, Devavrat Shah and … [Read more...] about Auditing for Human Expertise
REAL ML: Recognizing, Exploring, and Articulating Limitations of Machine Learning Research
🔬 Research summary by Jessie J. Smith, a 4th year PhD candidate in the Information Science department at the University of Colorado Boulder, researching best practices for operationalizing ML fairness in industry … [Read more...] about REAL ML: Recognizing, Exploring, and Articulating Limitations of Machine Learning Research
An Audit Framework for Adopting AI-Nudging on Children
🔬 Research summary by Dr. Marianna Ganapini, our Faculty Director. [Original paper by Marianna Ganapini and Enrico Panai] Overview: This white paper looks at a specific type of AI technology: persuasive … [Read more...] about An Audit Framework for Adopting AI-Nudging on Children
International Human Rights, Artificial Intelligence, and the Challenge for the Pondering State: Time to Regulate?
🔬 Research Summary by Giuliana Luz Grabina, a philosophy undergraduate student at McGill University, with an interest in AI/technology policy regulation from a gendered perspective. [Original paper by Jose-Miguel … [Read more...] about International Human Rights, Artificial Intelligence, and the Challenge for the Pondering State: Time to Regulate?