Track / Overview

While Artificial Intelligence (AI) is poised to dramatically change our lives, it is still unclear how our future will look like. Often presented as one of the most promising technologies of the decade, AI gives us hope for economic, societal, and ecological progress. Alongside this hope, AI already generates various adverse social consequences (e.g., such as fake news, distorted market competition, algorithmic bias and discrimination, etc.).  

To tackle these challenges, regulators around the globe are enacting laws, putting forward policy guidelines and regulatory proposals. Prominent examples in the EU include the famous General Data Protection Regulation, as well as proposals such as the Digital Markets Act and the AI Act. North America is following that lead through the adoption of various state-level privacy laws in the United States and the Ontario’s Trustworthy AI framework proposal, while the Chinese government has also been vigorously rolling out a series of laws regulating personal information and internet recommendation algorithms.

In this track, we address the issues of AI use and its regulation from three complementary perspectives: law, economics, and finance. A key aspect of the proposed rules for AI include ethics principles, such as the need for truth, fairness and equity. Further, recognizing that many digital markets are dominated by a few superstar firms, the policy discussion is to bring together the previously separate regulatory fields of competition policy (e.g. antitrust and merger control) and consumer protection (e.g. consumer rights) to ensure a balance between firm growth and innovation, on the one hand, and fair competition and privacy protection, on the other. Lastly, recognizing the dangers of algorithmic discrimination for minorities, social scoring, or consumer creditworthiness, there is a need for a discussion with practitioners on the new proposed requirements regarding the fair use and dissemination of data and software for financial services, lending and asset management. 

Experts from academia and practice will discuss whether the existing legal framework and recent policy proposals are going in the right direction, considering likely side-effects and unintended consequences.

Track / Schedule


Panel Discussion: Law & Policy

With Michael Veale, Paul Nemitz, Belén Arribas & Suzanne Vergnolle


Panel Discussion: Economy & Finance

With Sebastian Doerr, Daniel Schnurr, Jon Frost, Ilja Kantorovitch, Roxana Mihet & Mehmet Toral


Track / Speakers

Roxana Mihet

Professor of Finance on Tenure-Track, SFI @ HEC Lausanne

Suzanne Vergnolle

Post-doctoral Fellow, Swiss Institute for Comparative Law & Unil

Paul Nemitz

Principal Adviser, DG JUSTICE (European Commission)

Ilja Kantorovitch

Postdoc, EPFL

Daniel Schnurr

Head of Research Group Data Policies, University of Passau

Jon Frost

Senior Economist, Bank for International Settlements

Sebastian Doerr

Economist, Bank for International Settlements

Belén Arribas


Michael Veale

Associate Professor, UCL

Mehmet Toral

Partner, id est avocats

Track / Co-organizers

Christian Peukert

Associate Professor, UNIL

Roxana Mihet

Professor of Finance on Tenure-Track, SFI @ HEC Lausanne

Suzanne Vergnolle

Post-doctoral Fellow, Swiss Institute for Comparative Law & Unil

AMLD EPFL 2022 / Tracks & talks

AMLD Keynote Session – Monday morning

Marcel Salathé, Lenka Zdeborová, Carmela Troncoso, Chiara Enderle, Patrick Barbey, Thomas Wolf, Gunther Jansen, Laure Willemin, Simon Hefti, Arthur Gassner

10:00-12:00 March 28Auditorium A

AI & Physics

Francesca Mignacco, Gert-Jan Both, Michael Unser, Thomas Asikis, Dalila Salamani, Pietro Rotondo, Tom Beucler, Giulio Biroli

12:30-18:00 March 285BC

AI & Pharma

Asif Jan, Jonas Richiardi, Patrick Schwab, Naghmeh Ghazaleh, Alexander Büsser, Carlos Ciller, Caibin Sheng, Silvia Zaoli, Félix Balazard, Giulia Capestro, Marianna Rapsomaniki, Martijn van Attekum

13:30-17:30 March 281BC

AMLD / Global partners