Artificial Intelligence Institute

Monday, June 10, 2024 | 9:00 am – 5:00 pm (Includes Networking Luncheon)

Format: In-Person

Program Co-Chair: Program Co-Chair: Program Co-Chair:

Lorraine McGowen
Orrick, Herrington & Sutcliffe LLP

Edward So
White & Case

Jerome Walker
 Jerome Walker PLLC

  • The reach of artificial intelligence is ubiquitous and has touched virtually every facet of business, government, and human interaction. AI simultaneously offers opportunities and risks that cannot and should not be ignored. AI, especially generative artificial intelligence, has become a magnet for investors and has the potential to reshape the global landscape and influence virtually every industry.

    Given the rapid pace with which AI is advancing, no law or regulation can keep pace unless the law or regulation is technology neutral and provides broad guidance rather than restrictions that attempt to address point in time challenges. In other words, the laws and regulations must look to the future rather than focus on the past. While market participants have repeatedly urged policymakers to adopt responsible and fair laws and regulations to govern AI, it is unlikely, in the immediate term, that the US will be able to address all of the many issues raised by the use of AI, and that means the US will continue to have a patch work of laws and many of those lags will continue to lag behind advances in technology and the gap between the current state of the law and what is needed will continue to grow wider.

    This full-day, in-person CLE AI Institute is designed to provide much needed clarity in four key areas:

    The Use of Artificial Intelligence in AML/CFT Compliance

    1. AML/CFT Use Cases
    What are some of the use cases? Monitoring of Customers Behavior and Transactions to Detect Suspicious Activity; Improvement of the Quality of Reporting; Fraud Detection; Digital Identity Solutions; Screen Multiple Lists; Fuzzy Matching; More Productive Investigations; and Advanced Assessment of Hit Quality

    2. AI/ML Challenges
    What are some of the Challenges? Underlying Data Used to Train AI Models; Complexity of AI Models; IT Systems and Modeling Approaches Supporting the Models; Human Capital; and Governance and Model Risk Management

    What is Responsible AI? Ethical AI; Explainable AI; Effective AI Model Training; Synthetic Data Solutions; Updatability; Auditability; Tech Sprints; and Data Sharing

    3. Regulating the Use of AI
    How is AI regulated? Federal; State; International

    The Use of Large Language Models and Generative Artificial Intelligence

    1. How do Large Language Models work?
    How do LLMs work under the hood?
    What are their strengths and weaknesses? How are they trained and how can they be fine-tuned for specific applications?

    2. Exploring applications of LLMs in the legal profession
    The law is a discipline built on language. How can LLMs be leveraged to help provide legal services? What are the main applications where they can augment the abilities of human lawyers?
    What technical resources are needed to deploy LLMs in the law at scale?

    3. What does the future hold?
    What developments should we expect going forward?
    What are the implications of multi-modal models?
    What challenges remain open and where should research focus?
    How do we best address challenges surrounding privacy, data security, and professional responsibility?

    The Use of Artificial Intelligence in Commerce and Finance, including in Banking, Securities, Commodities, and Insurance

    1. AI and Data Privacy and Protection
    What are some of the practical strategies for navigating the complex intersection of AI technology and financial regulation?

    2. AI and Algorithmic Transparency and Accountability
    What are some of the real-world use cases?

    3. Regulatory Compliance Challenges, Ethics, Risk Management Frameworks, and the Evolving Role of Regulators in Overseeing AI-driven Financial Services
    What are some of the key ethical considerations such as bias detection and mitigation, fairness in algorithmic decision-making, and ensuring AI systems uphold consumer rights?

    The Use of Artificial Intelligence in the New York Judiciary

    1. Judicial Use of AI
    How can judges use AI? Text generation, legal research, document summarization, case management, decision-making
    What are the pros and cons of that use? Efficiency, productivity, bias detection v. inaccuracy, bias, trust loss
    Should judges be barred from using AI in certain cases? If so, what standards should guide that? Some say yes, like in criminal and family law contexts because room for error is extraordinarily low in light of physical and familial liberty
    Should AI decide cases? No, because risky. Yes, depending on the case type and so long as parties give informed consent.

    2. Access to Justice
    How can AI assist self-represented parties? Enhance pleadings and papers, make oral advocacy more persuasive
    What are some risks? Flood of litigation, including frivolous litigation.
    Should self-represented parties be required to disclose that they have used AI in their advocacy? Yes, because they lack the professional obligations that attorneys have. No, because any party must still be candid with the court and otherwise such a rule creates inefficient double standards: one for attorneys and one for non-attorneys.

    3. Evidence
    What are some issues in this domain? Deepfakes, bias, judicial understanding of this technology
    How can those risks be managed? Deepfake detection technology, technical advisors, new burdens of production and proof, etc.

    Program Fee:
    $299 Member | $399 Nonmember
    Small Law Firm Member: $199

  • Fireside Chat Speaker

    Jeanette Quick
    Deputy Assistant Secretary, US Department of the Treasury

    The Use of Artificial Intelligence in AML/CFT Compliance

    Moderator and Lead Panelist:
    Jerome Walker
    Jerome Walker PLLC

    Panelists:
    Clark Abrams
    Chief, Money Laundering and Financial Investigations Unit, Special Narcotics Prosecutor for the City of New York

    Henry Balani
    Global Head of Industry & Regulatory Affairs, Encompass Corporation

    Elizabeth “Lili” Kudirka
    Special Agent, New York Federal Bureau of Investigation

    Liat Shetret
    Director of Global Policy and Regulation at Elliptic

    Large Language Models and Generative Artificial Intelligence

    Moderator and Lead Panelist:
    Robert Mahari
    Harvard Law School and MIT Media Lab

    Panelists:
    Wendy Butler Curtis
    Orrick, Herrington & Sutcliffe LLP

    Ian McDougall
    Executive Vice President and General Counsel, LexisNexis

    Ali Vahdat
    Applied Research Manager (NLP/ML), Thomson Reuters, Toronto, Ontario, Canada

    Artificial Intelligence in Commerce and Finance

    Moderator and Lead Panelist:
    Azish Filabi
    Executive Director, American College Cary M. Maguire Center for Ethics in Financial Services

    Panelists:
    Guy Ben-Ami
    Carter Ledyard

    Tiffany Smith
    WilmerHale

    The Use of Artificial Intelligence in the New York Judicial System

    Moderator and Lead Panelist:
    Harut Minasian
    Judicial Law Clerk, U.S. District Court, Western District of Texas

    Panelists:
    Katherine Forrest
    Paul Weiss

    Stuart Levi
    Skadden Arps

  • 9:00 am – 9:10 am
    Introduction and Program Overview

    Institute Co-Chairs:
    Lorraine McGowen: Orrick, Herrington & Sutcliffe LLP
    Edward So: White & Case
    Jerome Walker: Jerome Walker PLLC

    9:15 am – 10:00 am
    Networking Reception and Fireside Chat
    Jeanette Quick: Deputy Assistant Secretary, US Department of the Treasury

    10:00 am – 10:10 am
    Break

    10:10 am – 11:30 am
    The Use of Artificial Intelligence in AML/CFT Compliance
    Moderator and Lead Panelist:
    Jerome Walker: Jerome Walker PLLC

    Panelists:
    Clark Abrams, Chief, Money Laundering and Financial Investigations Unit, Special Narcotics Prosecutor for the City of New York
    Henry Balani, Global Head of Industry & Regulatory Affairs, Encompass Corporation
    Elizabeth “Lili” Kudirka, Special Agent, New York Federal Bureau of Investigation
    Liat Shetret, Director of Global Policy and Regulation at Elliptic

    11:30 am – 11:45 am
    Break

    11:45 am – 1:05 pm
    Large Language Models and Generative Artificial Intelligence
    Moderator and Lead Panelist:
    Robert Mahari: Harvard Law School and MIT Media Lab

    Panelists
    Wendy Butler Curtis: Orrick, Herrington & Sutcliffe LLP
    Ian McDougall:  Executive Vice President and General Counsel, LexisNexis
    Ali Vahdat:  Applied Research Manager (NLP/ML), Thomson Reuters, Toronto, Ontario, Canada

    1:05 pm – 1:10 pm
    Break

    1:10 pm – 1:55 pm
    Networking Luncheon and Keynote Address

    1:55 pm – 2:05 pm
    Break

    2:05 pm – 3:25 pm
    Artificial Intelligence in Commerce and Finance
    Moderator and Lead Panelist:
    Azish Filabi, Executive Director, American College Cary M. Maguire Center for Ethics in Financial Services

    Panelists
    Guy Ben-Ami: Carter Ledyard
    Tiffany Smith: WilmerHale

    3:25 pm – 3:30pm
    Break

    3:30 pm – 4:50 pm
    The Use of Artificial Intelligence in the New York Judicial System
    Moderator and Lead Panelist:
    Harut Minasian, Judicial Law Clerk, U.S. District Court, Western District of Texas

    Panelists
    Katherine Forrest: Paul Weiss
    Stuart Levi:  Skadden Arps

  • New York: 6.0 Professional Practice
    New Jersey: 6.0 General
    California: 6.0 General
    Pennsylvania: 5.0 General
    Connecticut: Available to Licensed Attorneys

  • Thank You to Our Sponsors:

    Platinum Sponsor:

    Silver Sponsors:


    Sponsoring Association Committee:
    Task Force on Digital Technologies, Lorraine McGowen, Edward So & Jerome Walker, Co-Chairs

    Sponsorship Opportunities are Available! Please Contact:
    Yelena Balashchenko, Manager, Business Development & Sponsorships | (212) 382-6608 | ybalashchenko@nycbar.org

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