American Financial Services Association - AI explainability-by-design: How to ensure that your AI doesn’t become a litigation nightmare | August 8, 2019
American Financial Services Association

AI explainability-by-design: How to ensure that your AI doesn’t become a litigation nightmare | August 8, 2019

AI explainability-by-design: How to ensure that your AI doesn’t become a litigation nightmare | August 8, 2019

AI explainability-by-design: How to ensure that your AI doesn’t become a litigation nightmare | August 8, 2019

Despite everyone’s best efforts, things will sometimes go wrong with AI systems, and the parties involved may find themselves in litigation, arbitration or a dispute with their regulator. When this happens, the parties will need to peer into the “black box” to reconstruct what the computer did and why it did it. But the usual electronic discovery tools and evidentiary principles for electronic records might not work for an AI system—especially a machine learning system that continuously “learns” based on new data. During the webinar, we will discuss some of these challenges, and explain how lawyers and other stakeholders can assist at the pre-litigation stage (in AI design, documentation, implementation, etc.

PRESENTATION SLIDES (PDF)


Presenters:


Alex Lakatos, Partner | Mayer Brown LLP

Alex Lakatos is a partner in the Washington DC office of Mayer Brown's Litigation & Dispute Resolution and Financial Services Regulatory & Enforcement practices. Alex practices in complex litigation, particularly on behalf of financial institutions. Alex often represents financial institutions in disputes arising from the wrongdoing of their customers, including instances in which customers have engaged in Ponzi schemes, money laundering, securities fraud, tax evasion, and even human rights violations. As well, Alex often handles highly sensitive matters, such as cases in which financial institutions are alleged to have aided and abetted terrorism in violation of the Anti-Terrorism Act (“ATA”).

Alex has spoken on litigation concerns arising from the use of AI and on the use of AI by the financial services industry at numerous events and conferences, such as Lend360, the American Banker’s RegTech Week, and meetings of the ABA’s Consumer Financial Services Committee and the AFSA Operations & Regulatory Compliance Committee.



Eric Evans, Co-Presenter, Partner | Mayer Brown LLP

Eric Evans is a partner in the Litigation & Dispute Resolution practice in Mayer Brown’s Palo Alto office. He concentrates his practice on complex litigation and intellectual property matters, often focused on large-scale machine learning tools. He also leverages a prior career in information technology to provide advice on defending AI and machine learning tools, data and information governance, and cybersecurity. He is co-chair of the firm’s Electronic Discovery & Information Governance practice and a member of the Information Technology Oversight Committee.