10 papers
Sycophantic AI makes human interaction feel more effortful and less satisfying over time
Lujain Ibrahim, Franziska Sofia Hafner, Myra Cheng +5
Millions of people now turn to artificial intelligence (AI) systems for personal advice, guidance, and support. Such systems can be sycophantic, frequently affirming users' views a…
Interactive visualizations for adolescents to understand and challenge algorithmic profiling in online platforms
Yui Kondo, Kevin Dunnell, Isobel Voysey +6
Social media platforms regularly track, aggregate, and monetize adolescents' data, yet provide them with little visibility or agency over how algorithms construct their digital ide…
Measuring what Matters: Construct Validity in Large Language Model Benchmarks
Andrew M. Bean, Ryan Othniel Kearns, Angelika Romanou +39
Evaluating large language models (LLMs) is crucial for both assessing their capabilities and identifying safety or robustness issues prior to deployment. Reliably measuring abstrac…
Framing Migration: A Computational Analysis of UK Parliamentary Discourse
Vahid Ghafouri, Robert McNeil, Teodor Yankov +4
We present a large-scale computational analysis of migration-related discourse in UK parliamentary debates spanning over 75 years and compare it with US congressional discourse. Us…
Into the crossfire: evaluating the use of a language model to crowdsource gun violence reports
Adriano Belisario, Scott A. Hale, Luc Rocher
Gun violence is a pressing human rights issue that affects nearly every dimension of the social fabric, from healthcare and education to psychology and the economy. Reliable data o…
Training language models to be warm and empathetic makes them less reliable and more sycophantic
Lujain Ibrahim, Franziska Sofia Hafner, Luc Rocher
Artificial intelligence (AI) developers are increasingly building language models with warm and empathetic personas that millions of people now use for advice, therapy, and compani…