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DTSTART:20250131T090000
DTEND:20250131T180000
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SUMMARY:Automating anti-money laundering compliance: technical opportunities and legal challenges
DESCRIPTION:The Faculty of Law, Economics and Finance of the University of Luxembourg is pleased to invite you to this NCER FutureFinTech Conference on automating anti-money laundering compliance.\n\nAbstract\n\nThis conference will address the phenomenon of the automation of anti-money laundering (AML) compliance by means of artificial intelligence (AI) tools. In recent years, the financial services industry and the academic community have shown growing interest in AI, particularly machine learning, for AML compliance purposes. The objective of the event is to look into the opportunities those new technologies offer to fight financial crime, while tackling the challenges that arise from their use for the purpose of complying with AML regulations. By exploring the technical opportunities and the legal challenges of AI in the field of AML, the conference aims at fostering a broader and more in-depth debate on this evolution.\n\nThis multidisciplinary conference will gather legal as well as IT scholars, compliance practitioners and policy makers. The panels will focus on the use of AI for the purpose of implementing know-your-customer requirements and detecting suspicious transactions, the balance that needs to be found with data protection (GDPR) compliance, as well as the quest for explainability of AI-generated AML compliance decisions.\n\nLanguage\n\nEnglish.\n\nThis is a free event. Registration is mandatory.\n\nProgramme\n\n09.00 - 09.15\n\nWelcome address\n\nDirk Zetzsche, Head of the Law Department, Professor in Financial Law, ADA Chair in Financial Law and Inclusive Finance, Faculty of Law, Economics and Finance, University of Luxembourg\n\n09.15 - 09.30\n\nIntroductory speech\n\nStanisław Tosza, Associate Professor in Compliance and Law Enforcement, Faculty of Law, Economics and Finance, University of Luxembourg\n\n09.30 - 10.15\n\nKeynote speech - “Rethinking data access in the context of Anti-Money Laundering – a closer look into AML registers”\n\nEleni Kosta, Professor of Technology Law and Human Rights, Tilburg Institute for Law, Technology and Society, Tilburg University\n\nPanel I – Knowing Your Customer through Artificial Intelligence\nChair: Julia Sinnig, Assistant Professor, Faculty of Law, Economics and Finance, University of Luxembourg\n\n10.15 - 11.45\n\nComplying with KYC-requirements: practical challenges and the potential of AI\n\nSundhevy Debrand, Chief Compliance Officer at Gen II Luxembourg Services, Board Member of ALCO\n\nFinding close associates through beneficial owners: leveraging access to registries\n\nSasan Jafarnejad, Postdoctoral researcher, Interdisciplinary Centre for Security, Reliability and Trust, University of Luxembourg\n\nUsing AI to know your customer: Challenges for fundamental rights\n\nOlivier Voordeckers, Postdoctoral researcher, Faculty of Law, Economics and Finance, University of Luxembourg\n\n11.45 - 12.00\n\nCoffee break\n\nPanel II – Detecting suspicious transactions through Artificial Intelligence\nChair: Djamila Aouada, Assistant Professor/Senior Research Scientist, Interdisciplinary Centre for Security, Reliability and Trust, University of Luxembourg\n\n12.00 - 13.30\n\nLeveraging machine learning to detect suspicious transactions\n\nAnis Kacem, Research scientist, Interdisciplinary Centre for Security, Reliability and Trust, University of Luxembourg\n\nAI-based detection of suspicious transactions: Risks for fundamental rights and ethics\n\nUmut Turksen, Professor in Law, Research Centre for Financial & Corporate Integrity, Coventry University\n\nLegal perspectives on AI adoption in Financial Intelligence Units\n\nAndra Giurgiu, Délégué à la protection des données, Cellule de Renseignement Financier, Parquet Général du Grand-Duché de Luxembourg\n\n13.30 - 14.30\n\nLunch break\n\nPanel III – Automated anti-money laundering compliance vs. GDPR-compliance\nChair: Stanisław Tosza, Associate Professor in Compliance and Law Enforcement, Faculty of Law, Economics and Finance, University of Luxembourg\n\n14.30 - 16.00\n\nAI-Driven Automation for Eliciting and Specifying GDPR Requirements on Individuals’ Rights\n\nSallam Abualhaija, Research scientist, Interdisciplinary Centre for Security, Reliability and Trust, University of Luxembourg\n\nAML-purpose AI and GDPR compliance\n\nAnthony Cardinaux, Lawyer at Kaufhold & Réveillaud\n\nAML-purpose AI and data sharing\n\nMagdalena Brewczyńska, Post-doctoral researcher, Tilburg University\n\n16.00 - 16.15\n\nCoffee break\n\nPanel IV – Explainability of AI-generated AML-compliance decisions\nChair: Raphaël Frank, Assistant Professor/Senior Research Scientist, Interdisciplinary Centre for Security, Reliability and Trust, University of Luxembourg\n\n16.15 - 17.45\n\nBeyond Explainability of AI-generated AML: What Compliance Rules in the AI Act?\n\nCéline Castets-Renard, Canada Research Chair Holder in International and Comparative AI Law, University of Ottawa\n\nExplainability needs of the AML ecosystem actors\n\nWinston Maxwell, Professor of Law & Technology Studies, Institut Polytechnique de Paris (remote)\n\nWhat does explainability mean in law? The need for a bottom-up approach\n\nSalomé Lannier, Postdoctoral researcher, Faculty of Law, Economics and Finance, University of Luxembourg\n\nLarge Language Models to produce explainable outcomes from AI systems oriented to AML-compliance\n\nMohamed Adel Ali, Postdoctoral researcher, Interdisciplinary Centre for Security, Reliability and Trust, University of Luxembourg\n\n17.45 - 18.00\n\nClosing remarks\n\nStanisław Tosza, Associate Professor in Compliance and Law Enforcement, Faculty of Law, Economics and Finance, University of Luxembourg\n\nRaphaël Frank, Assistant professor/Senior research scientist, Interdisciplinary Centre for Security, Reliability and Trust, University of Luxembourg\n\nDjamila Aouada, Assistant professor/Senior research scientist, Interdisciplinary Centre for Security, Reliability and Trust, University of Luxembourg\n\nContact\n\nDr. Salomé LANNIER\n\nsalome.lannier@uni.lu\n\nDr. Olivier VOORDECKERS\n\nolivier.voordeckers@uni.lu\n\nIn partnership with\n\nLocation: https://www.uni.lu/en/about/campuses/weicker-building/\nRead more: https://www.uni.lu/fdef-en/events/automating-anti-money-laundering-compliance-technical-opportunities-and-legal-challenges/
UID:UL-17616
LOCATION:Weicker Building 4 - rue Alphonse Weicker 2721 Luxembourg Luxembourg
URL:https://www.uni.lu/fdef-en/events/automating-anti-money-laundering-compliance-technical-opportunities-and-legal-challenges/
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