What

RAI Summit 2023 is a global, industry/academic bilateral summit focused on Responsible AI approaches that can lead to principled, practical, and scalable solutions, thereby enabling AI to do good and prevent harm.

Why

We are facing another paradigm shift in AI today brought on by large foundation models and rapid progress in generative AI. These models have wide societal and user impact but have major challenges in terms of safety and trustworthiness. In this first edition of RAI Summit, the theme will be on Responsible Generative AI. Large image and text language models such as ChatGPT, Dall-E, etc. have ushered in another paradigm change in AI. These models are more powerful than ever, and more human-like than ever. They are posed to disrupt applications in education, work, art, medical science, social media, and many others. Meanwhile, they are also heavily criticized for being untrustworthy.

The Summit will be in a high-level workshop format over 2 days. There will be keynote speakers, panels on various RAI topics.

The Summit will invite AI experts from around the world to discuss how to translate Responsible AI principles, ethics, and laws, to the implementation of generative AI models and systems. The Summit will also invite experts on the ethical, societal, and legal aspects to discuss the governance of these models. Through panel discussions, case studies, white paper presentations, demonstrations, and closed-door discussions under the Chatham House Rule.

Participants will discuss comparative aspects and practice of Responsible AI implementations and challenges in scaling or adoption and will learn and discuss across disciplines the various challenges related to generative AI.

A RAI special interest group will be formed, and future annual RAI Summits will be discussed.

Who

The Summit is curated by a steering committee (SC) made up of leading experts in the field, and organized by an operations team nominated by the SC.


Steering Committee

  • Pascale Fung (co-chair)

    Pascale Fung (co-chair)

    HKUST/META

  • Joaquin Quiñonero Candela (co-chair)

    Joaquin Quiñonero Candela (co-chair)

    LinkedIn

  • Amir Banifatemi (co-chair)

    Amir Banifatemi (co-chair)

    XPRIZE

  • Francesca Rossi (co-chair)

    Francesca Rossi (co-chair)

    IBM

  • Yann LeCun

    Yann LeCun

    META/NYU

  • Esteban Arcaute

    Esteban Arcaute

    META

  • Joelle Pineau

    Joelle Pineau

    META

  • Yoshua Bengio

    Yoshua Bengio

    MILA

  • Haifeng Wang

    Haifeng Wang

    Baidu

  • Hang Li

    Hang Li

    ByteDance

  • Hiroaki Kitano

    Hiroaki Kitano

    Sony

  • Peter Norvig

    Peter Norvig

    Google

  • Moustapha Cisse

    Moustapha Cisse

    AIMS/Google

  • Michael Kearns

    Michael Kearns

    Amazon


Program Committee

  • Pascale Fung

    HKUST/META

  • Amir Banifatemi

    XPRIZE

  • Joaquin Quiñonero Candela

    LinkedIn

  • Francesca Rossi

    IBM

  • Rachel Mangahas

    META

  • Benjamin Prud’homme

    MILA

  • Dianbo Liu

    MILA

  • Kris Sankaran

    MILA

  • Joelle Pineau

    META

  • Mona Diab

    META

  • Emily McReynolds

    META

  • Qifeng Chen

    HKUST

  • Kellee S. Tsai

    HKUST

  • Pilar Manchon

    Google

  • Moustapha Cisse

    AIMS/Google

  • Michael Kearns

    Amazon

  • Peter Norvig

    Google

  • Rita Frieske

    HKUST