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Found 5 papers, 1 papers with code
Operational Collective Intelligence of Humans and Machines
We explore the use of aggregative crowdsourced forecasting (ACF) as a mechanism to help operationalize ``collective intelligence'' of human-machine teams for coordinated actions.
Spontaneous Theory of Mind for Artificial Intelligence
Existing approaches to Theory of Mind (ToM) in Artificial Intelligence (AI) overemphasize prompted, or cue-based, ToM, which may limit our collective ability to develop Artificial Social Intelligence (ASI).
Multiagent Inverse Reinforcement Learning via Theory of Mind Reasoning
We evaluate our approach in a simulated 2-player search-and-rescue operation where the goal of the agents, playing different roles, is to search for and evacuate victims in the environment.
Comparing Psychometric and Behavioral Predictors of Compliance During Human-AI Interactions
A common hypothesis in adaptive AI research is that minor differences in people's predisposition to trust can significantly impact their likelihood of complying with recommendations from the AI.
The Role of Heuristics and Biases During Complex Choices with an AI Teammate
We argue that classic experimental methods used to study heuristics and biases are insufficient for studying complex choices made with AI helpers.
