most citedSubjective Experience in AI Systems: What Do AI Researchers and the Public Believe?

4 citations · 9 across the 5 of their papers we have counts for

collaborators

5 papers

cs.CL2025

Speciesism in AI: Evaluating Discrimination Against Animals in Large Language Models

Monika Jotautaitė, Lucius Caviola, David A. Brewster +1

As large language models (LLMs) become more widely deployed, it is crucial to examine their ethical tendencies. Building on research on fairness and discrimination in AI, we invest…

cs.CY2025★ 1 cited

Futures with Digital Minds: Expert Forecasts in 2025

Lucius Caviola, Bradford Saad

This report presents findings from an expert survey on digital minds takeoff scenarios. The survey was conducted in early 2025 with 67 experts in digital minds research, AI researc…

cs.CY2025★ 4 cited

Subjective Experience in AI Systems: What Do AI Researchers and the Public Believe?

Noemi Dreksler, Lucius Caviola, David Chalmers +6

We surveyed 582 AI researchers who have published in leading AI venues and 838 nationally representative US participants about their views on the potential development of AI system…

cs.CY2025★ 3 cited

The Societal Response to Potentially Sentient AI

Lucius Caviola

We may soon develop highly human-like AIs that appear-or perhaps even are-sentient, capable of subjective experiences such as happiness and suffering. Regardless of whether AI can…

cs.CY2024★ 1 cited

Can AI Understand Human Personality? -- Comparing Human Experts and AI Systems at Predicting Personality Correlations

Philipp Schoenegger, Spencer Greenberg, Alexander Grishin +2

We test the abilities of specialised deep neural networks like PersonalityMap as well as general LLMs like GPT-4o and Claude 3 Opus in understanding human personality. Specifically…