Attaining Human`s Desirable Outcomes in Human-AI Interaction via
Structural Causal Games

Attaining Human`s Desirable Outcomes in Human-AI Interaction via Structural Causal Games

26 May 2024

Jianhong Wang

Papers citing "Attaining Human`s Desirable Outcomes in Human-AI Interaction via Structural Causal Games"

6 / 6 papers shown

Title
Honesty Is the Best Policy: Defining and Mitigating AI Deception Francis Rhys Ward Francesco Belardinelli Francesca Toni Tom Everitt 110 27 0 03 Dec 2023
LanguageMPC: Large Language Models as Decision Makers for Autonomous Driving Hao Sha Yao Mu Yuxuan Jiang Li Chen Chenfeng Xu Ping Luo Shengbo Eben Li Masayoshi Tomizuka Wei Zhan Mingyu Ding 105 154 0 04 Oct 2023
Characterising Decision Theories with Mechanised Causal Graphs Matt MacDermott Tom Everitt Francesco Belardinelli CML 21 2 0 20 Jul 2023
Evaluation of GPT-3.5 and GPT-4 for supporting real-world information needs in healthcare delivery Debadutta Dash Rahul Thapa Juan M. Banda Akshay Swaminathan Morgan Cheatham ... Garret K. Morris H. Magon M. Lungren Eric Horvitz N. Shah ELM LM&MA AI4MH 68 49 0 26 Apr 2023
Large Language Models can Implement Policy Iteration Ethan A. Brooks Logan Walls Richard L. Lewis Satinder Singh LM&Ro OffRL 124 21 0 07 Oct 2022
Influencing Towards Stable Multi-Agent Interactions Woodrow Z. Wang Andy Shih Annie Xie Dorsa Sadigh 30 35 0 05 Oct 2021