arXiv Whitepapers

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...

Generative Discrimination: What Happens When Generative AI Exhibits Bias, and What Can Be Done About It

As generative Artificial Intelligence (genAI) technologies proliferate across sectors, they offer significant benefits but also risk exacerbating discrimination. This chapter explores how genAI intersects with non-discrimination laws, identifying shortcomings and suggesting improvements. It...

News Articles

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Is AI in the eye of the beholder?

Navigating the risks and benefits of AI: Lessons from nanotechnology on ensuring emerging technologies are safe as well as successful

World’s biggest bat colony gathers in Zambia every year: we used artificial intelligence to count them

A pose-mapping technique could remotely evaluate patients with cerebral palsy

Virtual influencers: meet the AI-generated figures posing as your new online friends – as they try to sell you stuff

How an archeological approach can help leverage biased data in AI to improve medicine

Social media algorithms warp how people learn from each other, research shows

Experts alone can’t handle AI – social scientists explain why the public needs a seat at the table