Summary contributed by Yun Yu Chong and Haewoon Kwak. Chong Yun Yu is a recent graduate from Singapore Management University who is interested in understanding human behaviour through data. Haewoon Kwak, an … [Read more...] about Understanding Toxicity Triggers on Reddit in the Context of Singapore
Research Summaries
Understanding Machine Learning Practitioners’ Data Documentation Perceptions, Needs, Challenges, and Desiderata
Summary contributed by Nga Than (@NgaThanNYC), Senior Data Scientist at Prudential Financial. [Original paper by Amy Heger, Elizabeth B. Marquis, Mihaela Vorvoreanu, Hanna Wallach, Jennifer Wortman … [Read more...] about Understanding Machine Learning Practitioners’ Data Documentation Perceptions, Needs, Challenges, and Desiderata
Predatory Medicine: Exploring and Measuring the Vulnerability of Medical AI to Predatory Science
🔬 Research Summary by Shalini Saini, a doctoral researcher exploring privacy and security of AI in Medicine, Voice Biometrics, and Mobile Apps. She is working with Dr. Nitesh Saxena, Professor Of Computer Science at … [Read more...] about Predatory Medicine: Exploring and Measuring the Vulnerability of Medical AI to Predatory Science
Scoping AI Governance: A Smarter Tool Kit for Beneficial Applications
🔬 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
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