102 citations · 194 across the 17 of their papers we have counts for
19 papers
Method, Mind, and Morality: How People Make Sense of Artificial Intelligence
Jacy Reese Anthis, Erik Brynjolfsson, James Evans
How can humans make sense of the rapid takeoff of artificial intelligence (AI)? We studied the sensemaking dynamics of AI through an open-ended, mixed-methods study with computatio…
Effects of Generative AI Errors on User Reliance Across Task Difficulty
Jacy Reese Anthis, Hannah Cha, Solon Barocas +2
The capabilities of artificial intelligence (AI) lie along a jagged frontier, where AI systems surprisingly fail on tasks that humans find easy and succeed on tasks that humans fin…
Characterizing Delusional Spirals through Human-LLM Chat Logs
Jared Moore, Ashish Mehta, William Agnew +11
As large language models (LLMs) have proliferated, disturbing anecdotal reports of negative psychological effects, such as delusions, self-harm, and ``AI psychosis,'' have emerged…
Mental Models of Autonomy and Sentience Shape Reactions to AI
Janet V. T. Pauketat, Daniel B. Shank, Aikaterina Manoli +1
Narratives about artificial intelligence (AI) entangle autonomy, the capacity to self-govern, with sentience, the capacity to sense and feel. AI agents that perform tasks autonomou…
How AI Companionship Develops: Evidence from a Longitudinal Study
Angel Hsing-Chi Hwang, Fiona Li, Jacy Reese Anthis +1
The quickly growing popularity of AI companions poses risks to mental health, personal wellbeing, and social relationships. Past work has identified many individual factors that ca…
Digital Companionship: Overlapping Uses of AI Companions and AI Assistants
Aikaterina Manoli, Janet V. T. Pauketat, Ali Ladak +3
Large language models are increasingly used for both task-based assistance and social companionship, yet research has typically focused on one or the other. Drawing on a survey (N…
HumanAgencyBench: Scalable Evaluation of Human Agency Support in AI Assistants
Benjamin Sturgeon, Daniel Samuelson, Jacob Haimes +1
As humans delegate more tasks and decisions to artificial intelligence (AI), we risk losing control of our individual and collective futures. Relatively simple algorithmic systems…
Public Opinion and The Rise of Digital Minds: Perceived Risk, Trust, and Regulation Support
Justin B. Bullock, Janet V. T. Pauketat, Hsini Huang +2
Governance institutions must respond to societal risks, including those posed by generative AI. This study empirically examines how public trust in institutions and AI technologies…
LLM Social Simulations Are a Promising Research Method
Jacy Reese Anthis, Ryan Liu, Sean M. Richardson +5
Accurate and verifiable large language model (LLM) simulations of human research subjects promise an accessible data source for understanding human behavior and training new AI sys…
What do Large Language Models Say About Animals? Investigating Risks of Animal Harm in Generated Text
Arturs Kanepajs, Aditi Basu, Sankalpa Ghose +7
As machine learning systems become increasingly embedded in society, their impact on human and nonhuman life continues to escalate. Technical evaluations have addressed a variety o…
Robots, Chatbots, Self-Driving Cars: Perceptions of Mind and Morality Across Artificial Intelligences
Ali Ladak, Matti Wilks, Steve Loughnan +1
AI systems have rapidly advanced, diversified, and proliferated, but our knowledge of people's perceptions of mind and morality in them is limited, despite its importance for outco…
The AI Double Standard: Humans Judge All AIs for the Actions of One
Aikaterina Manoli, Janet V. T. Pauketat, Jacy Reese Anthis
Robots and other artificial intelligence (AI) systems are widely perceived as moral agents responsible for their actions. As AI proliferates, these perceptions may become entangled…
Perceptions of Sentient AI and Other Digital Minds: Evidence from the AI, Morality, and Sentience (AIMS) Survey
Jacy Reese Anthis, Janet V. T. Pauketat, Ali Ladak +1
Humans now interact with a variety of digital minds, AI systems that appear to have mental faculties such as reasoning, emotion, and agency, and public figures are discussing the p…
The Human Factor in AI Red Teaming: Perspectives from Social and Collaborative Computing
Alice Qian Zhang, Ryland Shaw, Jacy Reese Anthis +9
Rapid progress in general-purpose AI has sparked significant interest in "red teaming," a practice of adversarial testing originating in military and cybersecurity applications. AI…
The Impossibility of Fair LLMs
Jacy Anthis, Kristian Lum, Michael Ekstrand +2
The rise of general-purpose artificial intelligence (AI) systems, particularly large language models (LLMs), has raised pressing moral questions about how to reduce bias and ensure…
Which Artificial Intelligences Do People Care About Most? A Conjoint Experiment on Moral Consideration
Ali Ladak, Jamie Harris, Jacy Reese Anthis
Many studies have identified particular features of artificial intelligences (AI), such as their autonomy and emotion expression, that affect the extent to which they are treated a…
Bias in Language Models: Beyond Trick Tests and Toward RUTEd Evaluation
Kristian Lum, Jacy Reese Anthis, Kevin Robinson +2
Standard benchmarks of bias and fairness in large language models (LLMs) measure the association between the user attributes stated or implied by a prompt and the LLM's short text…
Causal Context Connects Counterfactual Fairness to Robust Prediction and Group Fairness
Jacy Reese Anthis, Victor Veitch
Counterfactual fairness requires that a person would have been classified in the same way by an AI or other algorithmic system if they had a different protected class, such as a di…
The Moral Consideration of Artificial Entities: A Literature Review
Jamie Harris, Jacy Reese Anthis
Ethicists, policy-makers, and the general public have questioned whether artificial entities such as robots warrant rights or other forms of moral consideration. There is little sy…