Progress and Challenges in Building Trustworthy Embodied AI

December 2, 2022 | New Orleans, United States | Hybrid

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Welcome to join the NeurIPS 2022 Workshop on Progress and Challenges in Building Trustworthy Embodied AI! The recent advances in deep learning and artificial intelligence have equipped autonomous agents with increasing intelligence, which enables human-level performance in challenging tasks. In particular, these agents with advanced intelligence have shown great potential in interacting and collaborating with humans (e.g., self-driving cars, industrial robot co-worker, smart homes and domestic robots). However, the opaque nature of deep learning models makes it difficult to decipher the decision-making process of the agents, thus preventing stakeholders from readily trusting the autonomous agents, especially for safety-critical tasks requiring physical human interactions. In this workshop, we bring together experts with diverse and interdisciplinary backgrounds, to build a roadmap for developing and deploying trustworthy interactive autonomous systems at scale. Specifically, we aim to the following questions:

  • What properties are required for building trust between humans and interactive autonomous systems? How can we assess and ensure these properties without compromising the expressiveness of the models and performance of the overall systems?

  • How can we develop and deploy trustworthy autonomous agents under an efficient and trustful workflow? How should we transfer from development to deployment?

  • How to define standard metrics to quantify trustworthiness, from regulatory, theoretical, and experimental perspectives? How do we know that the trustworthiness metrics can scale to the broader population?

  • What are the most pressing aspects and open questions for the development of trustworthy autonomous agents interacting with humans? Which research areas are prime for research in academia and which are better suited for industry research?

Invited Speakers and Panelists

Assistant Professor


PhD Student

University of Oxford

Research Scientist, Activity Lead

Bosch Center for AI

Assistant Professor

National University of Singapore

Assistant Professor


Assistant Professor

Georgia Institute of Technology

Assistant Professor

University of South California



UC Berkeley

Assistant Professor,

Univ. of Washington

Research Scientist,

NVIDIA Research

Assistant Professor

UC Santa Cruz


Stanford University

Changliu Liu

Assistant Professor


Program Committee

  • Alec Farid

  • Andrea Bajcsy

  • Andreea Bobu

  • Andrew Silva

  • Chaofan Chen

  • Chenfeng Xu

  • Erdem Biyik

  • Guanya Shi

  • Jie Ren

  • Jinning Li

  • Junyoung Park

  • Kai-Chieh Hsu

  • Lingfeng Sun

  • Mengxin Wang

  • Ryan Cosner

  • Serena Booth

  • Sijia Liu

  • Sushant Veer

  • Tesca Fitzgerald

  • Ran Tian

  • Varun Bhatt

  • Yulong Cao

We would appreciate your feedback!

Post-Workshop Feedback Survey: