[Call for Reviewers]
[Call for Papers]
[Last Event: AIGOV @ IJCAI 2024]

Introduction

We are excited to announce the 2nd International Workshop on “AI Governance: Alignment, Morality and Law” (AIGOV) at the AAAI 2025, a critical event addressing the principles, frameworks, and best practices necessary to navigate the ethical, legal, and societal dimensions of AI.

The rapid advancements in Artificial Intelligence (AI) bring unprecedented opportunities and challenges. As organizations and governments increasingly integrate AI technologies into various aspects of society, the need for effective AI governance becomes paramount. This workshop aims to provide a comprehensive understanding of AI governance principles, frameworks, and best practices to empower participants in navigating the ethical, legal, and societal dimensions of AI.

In addition to insightful technical discussions, we also plan to hold introductory talks to educate a broader community about the importance and urgency of AI governance. These talks will serve as a foundational introduction to the subject matter and its implications for society at large. Some topics of interest include but not limited to:

  • Understanding AI Governance: Define the core principles of AI governance. Explore existing regulations and ethical frameworks
  • Role of LLMs in AI Governance: Highlight the capabilities of LLMs in analyzing and generating human-readable content. Discuss how LLMs can contribute to drafting policies and guidelines.
  • Addressing Bias and Fairness: Examine the challenges of bias in AI systems. Showcase how LLMs can assist in identifying and mitigating bias.
  • Transparency and Accountability: Explore the importance of transparency in AI decision-making. Discuss how LLMs can aid in creating understandable and accountable AI systems.
  • Policy Interpretation and Compliance: Illustrate how LLMs can assist policymakers in understanding complex technical concepts. Discuss the role of LLMs in monitoring and auditing AI systems for compliance with governance standards.
  • Human-AI Collaboration: Emphasize the need for human oversight in AI governance. Discuss the collaborative approach between humans and LLMs.
  • AI alignment methods
  • Prompt engineering
  • Fine tuning
  • Explainable AI
  • Responsible AI practices

We believe that incorporating knowledge can potentially solve many of the most pressing challenges tackling the AI and society today. The primary goal of this workshop is to facilitate community building, as AI governance is a critical field with two distinct communities: policymakers crafting regulations and researchers/developers working on the technologies. The workshop aims to bring these communities together to foster collaboration and enhance understanding. The workshop aims to educate a broader community about the intricacies of AI governance. Through informative sessions and discussions, participants will gain a deeper understanding of the challenges posed by AI technologies and the need for effective governance.

This workshop will be a hybrid event held in conjunction with AAAI 2025, taking place on Mar 3rd, 2025 at Philadelphia, PA, USA. The session will cover invited talks, contributed talks, posters, and a panel discussion.

Key Dates

  • Submission deadline: Nov 24th, 2024 (11:59 pm AOE)
  • Acceptance notification: Dec 9th, 2024
  • Camera ready for accepted submissions: TBA

Confirmed Keynote and Invited Speakers

Christopher S. Yoo
Christopher S. Yoo

Penn Law
Rumman Chowdhury
Rumman Chowdhury

Parity Consulting, Harvard
Kush R. Varshney
Kush R. Varshney

IBM Research
Laura Bingham
Laura Bingham

Temple Law
Desmond Patton
Desmond Patton

U Penn
Sara Migliorini
Sara Migliorini

Macau Law


Organizing Committee

Baihan Lin
Baihan Lin

Harvard Law, Mount Sinai
Djallel Bouneffouf
Djallel Bouneffouf

IBM Research
Asim Munawar
Asim Munawar

IBM Research
Irina Rish
Irina Rish

Mila - Quebec AI Institute
Lauri Goldkind
Lauri Goldkind

Fordham University


Technical Program Committee (TPC)

We would like to express our sincere gratitude to our technical program committee for generously volunteering their time and expertise to review submissions for our workshop. Their valuable contributions have been instrumental in ensuring the quality and rigor of the workshop’s program. We deeply appreciate their dedication and commitment to our workshop’s success:

Sonali Son, Yohan Mathew, Arian Khorasani, Ashraf Abdul, Serge Stinckwich, Giandomenico Cornacchia, Jawad Haqbeen, Chi Xie, Xiaoxia Lei, Lisa Lehmann, Prithviraj (Raj) Dasgupta, Sray Agarwal, Moncef Garouani, Chemlal Yman, Imran Nasim, Fakhare Alam, Adnan Zaidi, Zahid Farid, Pengwei Li, Manish Nagireddy, Jesus Rios Aliaga, Miao Liu, Muneeza Azmat, Kinjal Basu, Nudrat Nida, Inas Bachiri, Sarathkrishna Swaminathan

Contact

For any questions, please contact us at blin@law.harvard.edu.

Sponsors

  • Harvard Law School
  • Icahn School of Medicine at Mount Sinai
  • IBM Research
  • Mila - Quebec AI Institute
  • Fordham University