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Smart replies, writing enhancements, and virtual assistants powered by artificial intelligence language technologies are increasingly being integrated into consumer products and everyday experiences.
AI+Science: Accelerating Discovery is an interdisciplinary conference bringing together researchers across physics, mathematics, chemistry, biology, neuroscience, and more to examine how AI is reshaping scientific discovery.
AI+Science: Accelerating Discovery is an interdisciplinary conference bringing together researchers across physics, mathematics, chemistry, biology, neuroscience, and more to examine how AI is reshaping scientific discovery.
We examine the prevalence and productivity dynamics of artificial intelligence (AI) in American manufacturing. Working with the Census Bureau to collect detailed large-scale data for 2017 and 2021, we focus on AI-related technologies with industrial applications.
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We examine the prevalence and productivity dynamics of artificial intelligence (AI) in American manufacturing. Working with the Census Bureau to collect detailed large-scale data for 2017 and 2021, we focus on AI-related technologies with industrial applications.
While Large Language Models (LLMs) show promise in many domains, relying on them for direct policy generation in games often results in illegal moves and poor strategic play.
While Large Language Models (LLMs) show promise in many domains, relying on them for direct policy generation in games often results in illegal moves and poor strategic play.
This research explores both the potential and risks of AI-mediated communication (AI-MC) technologies such as GPT-4—specifically in the political sphere—through a series of experiments designed to assess the possible uses and misuses of AI-MC. The initial part of the research evaluates whether human-AI collaboration can increase legislator responsiveness by studying citizen responses to AI-generated tweets and email correspondence. The findings point to the importance of disclosure, transparency, and human-in-the-loop accountability for AI-mediated political communication. The research then turns to the plausibility of misuse by actors seeking to influence the democratic process. It shares results from a field experiment on legislators, highlights the challenge these technologies present to democratic representation, and suggests techniques elected officials might employ to guard against AI-sourced astroturfing.
