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 "I don't see myself represented here at all": User Experiences of Stable Diffusion Outputs Containing Representational Harms across Gender Identities and Nationalities Though research into text-to-image generators (T2Is) such as Stable Diffusion has demonstrated their amplification of societal biases and potentials to cause harm, such research has primarily relied on computational methods instead of seeking information from real users who experience harm, which is... Gender, Race, and Intersectional Bias in Resume Screening via Language Model Retrieval Artificial intelligence (AI) hiring tools have revolutionized resume screening, and large language models (LLMs) have the potential to do the same. However, given the biases which are embedded within LLMs, it is unclear whether they can be used in this scenario without disadvantaging groups based on... Do Generative AI Models Output Harm while Representing Non-Western Cultures: Evidence from A Community-Centered Approach Our research investigates the impact of Generative Artificial Intelligence (GAI) models, specifically text-to-image generators (T2Is), on the representation of non-Western cultures, with a focus on Indian contexts. Despite the transformative potential of T2Is in content creation, concerns have... More featured content News Articles Supermarket facial recognition failure: why automated systems must put the human factor first From shrimp Jesus to fake self-portraits, AI-generated images have become the latest form of social media spam 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 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 AI in the developing world: how ‘tiny machine learning’ can have a big impact More news