Workshop on Addressing Conflict of Laws and Facilitating Digital Product Passports

UN/CEFACT would like to invite you to attend:

Agenda

10:00 am – 11:00 am AEST: The UN/CEFACT working group on ‘conflict of laws in the critical raw material (CRM) value chains’ meeting: Introduction and discussion of the UN/CEFACT White Paper draft outline

Moderator: Associate Professor Jie (Jeanne) Huang, Sydney University School of Law.

This is a hybrid event. Please contact jeanne.huang@sydney.edu.au for zoom details.

11:00 am – 12:00 pm AEST: Research interview with Dr. David Brown who is a researcher with Mighty Earth and has done a lot of research on deforestation in CRM value chains in Indonesia.  For his recent publication, “From Forests to EVs,” which he co-authored with Mighty Earth.  Kindly refer to https://mightyearth.org/article/from-forests-to-electric-vehicles/. (The interview is not open to the public due to the research ethics requirement)

12:00 pm – 13:00 pm AEST: Lunch

13:00 pm- 14:00 pm AEST: Professor Philip M. Nichols keynote:

Does Compliance with the Global Anticorruption Regime Require the Use of Artificial Intelligence?: The Case of Managing Global Critical Raw Material Value Chains

Background

Business firms constantly hear that artificial intelligence has changed the world and that they must either utilize artificial intelligence or fall behind. By extension, this would be true of regulatory compliance as well as operations. This article challenges the mantra of artificial intelligence as a ubiquitous agent of change. It does so through the lens of the global anticorruption regime, a transnational web of laws, regulations and norms that work together to reign in corruption. As this article demonstrates, the global anticorruption regime imposes on business firms a requirement to implement effective and up-to-date antibribery programs. Given the prevailing conception of artificial intelligence as the newly-critical tool for business, it would be easy to interpret “effective” and “up-to-date” as requiring the use of artificial intelligence. To determine whether in fact the global anticorruption regime does, this article undertakes two analyses. First, it carefully determines the systems requirements of the type of artificial intelligence most applicable to antibribery programs – systems that can distinguish between honest and corrupt actors and transactions – and determines the regulatory constraints on the use of artificial intelligence in that way. This article then asks specifically what tasks artificial intelligence would be asked to do as part of an antibribery program, and evaluates the capacity of artificial intelligence to perform those tasks given the already determined system requirements and constraints. These analyses yield a surprising conclusion: in some instances the use of artificial intelligence would be helpful, but for most business firms, particularly for smaller firms or firms that have not experienced bribery, the use of artificial intelligence would not be helpful and could be harmful. Regulators and legal scholars must not think of artificial intelligence as a panacea; its potential use must be analyzed in the context of objectives and the capacities, needs, and limits of artificial intelligence.

Dr. Philip M. Nichols is the Joseph S. Kolodny Professor of Social Responsibility in Business and Professor of Legal Studies and Business Ethics at the Wharton School of the University of Pennsylvania. He was Co-Chair, UN/CEFACT Law Group (United Nations experts committee on electronic commerce and trade facilitation), 1998 to 2005.

Event page: https://law-events.sydney.edu.au/event/globalanticorruptionregime_ai/

Registration: https://www.eventbrite.com.au/e/does-compliance-with-the-global-anticorruption-regime-require-the-use-of-ai-tickets-1143595548069?aff=oddtdtcreator

UN/CEFACT would also like to call for participation:

White Paper on Addressing Conflict of Laws and Facilitating Digital Product Passports in Cross-border Value Chains