DEC
10
2026
The Good, the Bad and the Ugly of AI: Governance and Liability
Description
Artificial intelligence (AI) represents a transformative technological advancement, offering substantial benefits across diverse sectors, from healthcare diagnostics to creative content production to enhanced industrial efficiency. Yet, its rapid integration into society introduces a complex array of ethical and other challenges that necessitate careful examination and proactive management.
This two-day conference, comprising presentations and panel discussions by academics and industry players, explores how the governance and liability regimes applicable to AI can help induce AI to be more responsible and fairer.
The pervasive use of AI systems fundamentally alters how information is processed and how decisions are made, necessitating the application of existing principles and the creation of new frameworks to ensure responsible innovation and to safeguard societal well-being. At the same time, safeguards can fail, and technology can malfunction. When our protective measures falter, we need to evaluate liability and ascertain appropriate remedies for damage caused by AI-enabled products and services.
The conference will explore the evolving landscape of global and national efforts relating to governance and liability, highlighting the interconnectedness of these challenges and the imperative for a multi-stakeholder approach to ensure AI systems align with human values and serve the common good.
TERMS AND CONDITIONS
1. Fees (if applicable) are to be paid before the commencement of the event with exception of e-invoices.
2. Fees paid are non-refundable.
3. Registration is transferable within the same organisation if the request is made at least one week in advance of the event.
4. By filling up this Registration Form,
i. Participants agree and consent that their personal data provided in this form may be collected, used, processed and disclosed by NUS and the event organisers for the purposes of processing their registration, in accordance with the Personal Data Protection Act 2012 and all subsidiary legislation related thereto. In respect to disclosure, NUS may disclose participants personal data to third parties (which may be in or outside of Singapore) where necessary for such purposes.
ii. Participants will also consent to NUS taking photographs and videos for the purposes of event reporting, marketing, publicity, and media/social media. Participants further consent to NUS disclosing such photographs and videos to third party media entities (whether in Singapore or otherwise) for publicity purposes and NUS may identify them by name.
iii. NUS Law School and designated event organisers reserve the right to alter any of the programme or other arrangements for this event, including cancellation or postponement of the event, should circumstances so warrant.
Date and Time
Thursday, 10th December 2026 9:00AM GMT+08:00
to
Friday, 11th December 2026 6:00PM GMT+08:00
Organisation
Faculty of Law
Contact Email
trail@nus.edu.sg
Location
Wee Chong Jin Moot Court, National University of Singapore, 16 College Avenue West, Singapore 138528