TAIG 2026: 2026 International Workshop on Technologies for AI Governance Venue TBC, Hong Kong, November 27-28, 2026 |
| Conference web page | https://www.ln.edu.hk/sds/news-and-events-v0/sds_news_and_event_2026_TAIG |
| Submission link | https://easychair.org/conferences/?conf=taig20260 |
| Abstract registration deadline | September 15, 2026 |
| Submission deadline | September 15, 2026 |
2026 International Workshop on Technologies for AI Governance (TAIG 2026)
Submission Guidelines
We invite submissions of extended paper abstracts of no more than two pages, in PDF format, based on original research work. Authors of accepted abstracts will be expected to attend the workshop and present their work in person.
Key Dates:
Extended Abstract submission deadline: 15 September 2026
Acceptance Notification: 15 October 2026
Workshop dates: 27-28 November 2026
Full-length paper submission: 31 December 2026
Review feedback on full-length papers: 31 January 2027
Final camera-ready copies of full-length papers: 28 February 2027
List of Topics
Please create an account and fill in the submission form. Extended abstracts on topics related to the following topics are welcome.
Risks and Governance of Frontier AI
• AI regulation and compliance
• Risks and impacts of frontier AI models, AI Agents, and Physical AI
• Governance philosophies/frameworks/mechanisms/methodologies of frontier AI
Value Alignment
• Evaluation of value alignment of large language models, large multimodal models, and AI agents
• Value alignment techniques for large language models, large multimodal models, and AI agents
Human Autonomy and Oversight
• Evaluation and mitigation of threats to human autonomy in human-AI interaction (persuasion, manipulation, etc)
• Human oversight and control mechanisms/methods/techniques
Transparency & Interpretability
• Transparency documentation of data, models, systems, processes, and outcomes
• Explainability methods: Understanding model decisions (attention visualization, feature attribution)
Fairness & Bias Mitigation
• Bias detection and mitigation for training data
• Bias evaluation and mitigation for model outputs
Committees
Organizing Committee
- Prof. Lei CHEN
- Prof. Randy GOEBEL
University of Alberta, Professor, Department of Computing Science, Fellow and co-founder of the Alberta Machine Intelligence Institute
- Prof. Lei MA
Publication
After the workshop, authors will be invited to submit full-length papers to be included in an edited volume in Springer’s Lecture Notes in Computer Science series. All extended abstracts and full-length papers will be peer-reviewed.
Venue and Time
The conference will be held in ......
Time: 27-28 November 2026 (HKT)
Venue: Hong Kong or Online
Contact
All questions about submissions should be emailed to Ms. Cat Cheung at catcheung@LN.edu.hk or +852 26168901.
