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domain	princeton.edu
summary	The blog post discusses Adultification Bias in Large Language Models (LLMs) and Text-To-Image models as presented by Jane Castleman and Aleksandra Korolova. This topic will be featured at an upcoming conference on fairness, accountability, and artificial intelligence hosted by the ACM Association for Computing Machinery's International Conference. In addition to this research discussion scheduled online or in print following publication of their work, there is also a related public lecture series titled "Last Thursdays Princeton Public Lecture". These lectures aim not only as academic discussions but more importantly to demystify AI hype and deliver an honest appraisal about the current state-of-the-art technology. The recent session kicked off with presentations centered around Castleman's book 'The Meat' (I assume this is a play on words, referring either directly or indirectly to her research) by both Jane Castleman as well as Aleksandra Korolova. It seems that there will be further discussions and lectures which might delve into more details about the aforementioned bias in LLMs and text-to-image models. This would likely include an analysis of how adultification (the tendency for AI systems, particularly language or image generation ones to produce outputs based on assumptions related to adults) can result in unfair treatment towards certain user demographics. A key takeaway from this presentation will be a balanced perspective that avoids hype surrounding the technological advancements while providing insights into both its current applications and potential pitfalls. The series appears aimed at being accessible for general audiences with varying degrees of familiarity regarding AI technology, thereby encouraging dialogue between experts as well as laypersons interested in learning more about cutting-edge developments within data science. In summary: Jane Castleman & Aleksandra Korolova to discuss Adultification Bias; ACM conference on fairness + accountability + Artificial Intelligence - Data Science Society Last Thursdays Princeton Public Lecture begins with the presentation of their respective books. The lecture aims at demystifying AI hype, providing an honest appraisal about current state-of-the-art technology and further discussion series around bias in LLMs & Text-To-Image models likely to follow up on this first session.
title	Home \| Princeton University
description	Through teaching and research, we educate people who will contribute to society and develop knowledge that will make a difference in the world.
keywords	princeton, research, university, engineering, more, faculty, academic, admission, links, public, impact, humanities, american, education, learning, science, cancer
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downstreams	neh.gov, lrb.co.uk, ediblecommunities.com, goprincetontigers.com, facebook.com, twitter.com, instagram.com, snapchat.com, linkedin.com, youtube.com
nslookup	A 140.180.223.22
created	2024-10-13
updated	2025-07-16
summarized	2025-07-18

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