Gods and Robots In this episode of the podcast we shake things up! Neil is on the guest side of the table with his partner Rabbi Laura Janner-Klausner to discuss their upcoming project Gods and Robots. Katherine is joined on the host side by friend of the show professor Michael Littman. See... See More Episodes arXiv Whitepapers The Dark Side of Dataset Scaling: Evaluating Racial Classification in Multimodal Models Scale the model, scale the data, scale the GPU farms is the reigning sentiment in the world of generative AI today. While model scaling has been extensively studied, data scaling and its downstream impacts on model performance remain under-explored. This is particularly important in the context of... Machine Learning Data Practices through a Data Curation Lens: An Evaluation Framework Studies of dataset development in machine learning call for greater attention to the data practices that make model development possible and shape its outcomes. Many argue that the adoption of theory and practices from archives and data curation fields can support greater fairness, accountability... Lazy Data Practices Harm Fairness Research Data practices shape research and practice on fairness in machine learning (fair ML). Critical data studies offer important reflections and critiques for the responsible advancement of the field by highlighting shortcomings and proposing recommendations for improvement. In this work, we present a... More featured content News Articles How to spot fake online reviews (with a little help from AI) Supermarket facial recognition failure: why automated systems must put the human factor first Stay in the loop. Subscribe to our newsletter for a weekly update on the latest podcast, news, events, and jobs postings. E-mail Leave this field blank From shrimp Jesus to fake self-portraits, AI-generated images have become the latest form of social media spam Building fairness into AI is crucial – and hard to get right Beware businesses claiming to use trailblazing technology. They might just be ‘AI washing’ to snare investors Generative AI could leave users holding the bag for copyright violations Something felt ‘off’ – how AI messed with our human research, and what we learned Face recognition technology follows a long analog history of surveillance and control based on identifying physical features Emotion-tracking AI on the job: Workers fear being watched – and misunderstood Artificial intelligence needs to be trained on culturally diverse datasets to avoid bias More news