🔬 Research Summary by Grace Wright, Business Development Manager at a technology start-up and has worked in research roles focused on responsible and ethical development and use of AI and other emerging … [Read more...] about Scoping AI Governance: A Smarter Tool Kit for Beneficial Applications
Research Summaries
Human-centred mechanism design with Democratic AI
🔬 Research summary by Connor Wright, our Partnerships Manager. [Original paper by Raphael Koster, Balaguer Jan, Andrea Tacchetti, Ari Weinstein, Tina Zhu, Oliver Hauser, Duncan Williams, Lucy Campbell-Gillingham, … [Read more...] about Human-centred mechanism design with Democratic AI
Fair and explainable machine learning under current legal frameworks
🔬 Research Summary by Przemyslaw Grabowicz, a Research Assistant Professor of Computer Science at the University of Massachusetts Amherst. [Original paper by Przemyslaw Grabowicz, Nicholas Perello, Aarshee … [Read more...] about Fair and explainable machine learning under current legal frameworks
Demographic-Reliant Algorithmic Fairness: Characterizing the Risks of Demographic Data Collection and Use in the Pursuit of Fairness
🔬 Research Summary by Sarah Villeneuve, a Program Lead working on Fairness, Transparency, and Accountability at the Partnership on AI. [Original paper by McKane Andrus and Sarah Villeneuve] Overview: Most … [Read more...] about Demographic-Reliant Algorithmic Fairness: Characterizing the Risks of Demographic Data Collection and Use in the Pursuit of Fairness
Promises and Challenges of Causality for Ethical Machine Learning
🔬 Research Summary by Aida Rahmattalabi, a PhD in computer science at the University of Southern California where she focused on developing data-driven and trustworthy algorithms to guide public health … [Read more...] about Promises and Challenges of Causality for Ethical Machine Learning