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...

News Articles

People are worried about the media using AI for stories of consequence, but less so for sports and entertainment

What will a robot make of your résumé? The bias problem with using AI in job recruitment

Stay in the loop.

Subscribe to our newsletter for a weekly update on the latest podcast, news, events, and jobs postings.

Phone cameras can take in more light than the human eye − that’s why low-light events like the northern lights often look better through your phone camera

Eat a rock a day, put glue on your pizza: how Google’s AI is losing touch with reality

AI’s excessive water consumption threatens to drown out its environmental contributions

Understanding AI outputs: study shows pro-western cultural bias in the way AI decisions are explained

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

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