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Much of the research and discourse on risks from artificial intelligence (AI) image generators, such as DALL-E and Midjourney, has centered around whether they could be used to inject false […]
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AI agents are an exciting new research direction, and agent development is driven by benchmarks. Our analysis of current agent benchmarks and evaluation practices reveals several shortcomings that hinder their […]
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Abstract. This book is an exploration of modern propaganda and disinformation, with a focus on how social media and other digital communication tools and t
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Generative AI systems across modalities, ranging from text, image, audio, and video, have broad social impacts, but there exists no official standard for means of evaluating those impacts and which […]
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Social media is an important source of news and information in the United States. But during the 2016 US presidential election, social media platforms emerged as a breeding ground for […]
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The spread of misinformation through media and social networks threatens many aspects of society, including public health and the state of democracies. One approach to mitigating the effect of misinformation […]
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Hosted by The University of Texas at Austin’s Good Systems’ “Designing Responsible AI Technologies to Protect Information Integrity” research team, this virtual event brings together researchers and thought leaders working across […]
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Join Good Systems at UT Austin for its fourth annual symposium exploring the future of human-centered, values-driven artificial intelligence. Connect with an interdisciplinary and cross-sector community of faculty leaders, researchers, […]
