An actionable framework for thinking critically about the ethics of algorithmic systems, designed specifically for data scientists and AI/ML practitioners. Framework developed in collaboration with Mike Skirpan. Brought to you by Microsoft AI & ML Community, Singapore, moderated by Setu Chokshi. Streamed live on November 10, 2020. ( Video | Slides )
My personal perspective on the most significant and exciting recent trends in the field of AI ethics, focusing on three broad topics: how to ethically evaluate an algorithm’s inputs, its outputs, and its creators. Brought to you by AISC / Aggregate Intellect, moderated by Serena McDonnell. Streamed live on August 27, 2020. ( Video | Slides | Bibliography )
A response, written in collaboration with members of Aggregate Intellect’s machine learning ethics discussion group, to the Toronto Police Service Board's call for public feedback on its draft policy on the use of new artificial intelligence technology in policing. ( Read it! )
Where do you begin when designing an ethics framework for AI? How do you translate philosophical theory into practical guidance for data scientists? What are the benefits to having an ethics framework? Finding out by tuning into this interview with me on Ethical Intelligence's The Ethics Equation, moderated by Olivia Gambelin. Releaseed on February 16, 2021. ( Episode )
Channel: AI Ethics Stream @ AISC
A series of live video sessions, hosted by me, talking with leading AI ethics researchers about their latest research. Brought to you by AISC / Aggregate Intellect.
- Alex Hanna: "Towards a Critical Race Methodology in Algorithmic Fairness" (October 14, 2020)
- Emily Denton: "The People, Politics, & Histories Behind Machine Learning Datasets" (October 22, 2020)
- "AI, Democracy, & Disinformation", with Britt Paris, Emily Saltz, Justin Savoie, and Philippe-André Rodriguez (October 27, 2020)
A brief guide to bias in facial recognition algorithms and its related concepts, facial recognition technologies and algorithmic bias. Brought to you by AISC / Aggregate Intellect. ( Blog | Recipe )
An original course I developed for Stanford University's 2017 Summer Session, designed to help engineering and other students learn how to think critically about the novel ethical and philosophical questions raised by new and emerging technologies. ( Syllabus | Class Blog | additional assignments available on the Teaching page )