Artificial Intelligence and Machine Learning in Financial Services:
Risk Management Considerations (OnDemand)
Originally held on Friday, June 03, 2022 | 12:00 pm - 2:00 pm
Program Fee:
$149 for Members | $249 for Nonmembers
Members who are Recent Law Graduates, Newly Admitted Lawyers (admitted for the first time in any state or country 2020-2022), In-House/Corporate Counsel, Judges, and attorneys who practice within the Government, Academic or Not-for-Profit sectors attend this program for free.
CLE Credit:
New York: 2.0 Professional Practice
New Jersey: 2.0 General
California: 1.5 General
Pennsylvania: 1.5 General
Connecticut: Available to Licensed Attorneys
This program provides transitional/non-transitional credit to all attorneys
Description:
Artificial Intelligence (AI) and Machine Learning (ML) have already transformed the world in several ways. From AI-enabled smartphone features and traffic flow and safety monitoring to predicting the spread of COVID-19, AI and ML have become ubiquitous in our daily lives. The transformative nature of AI and ML, and the increasing pace at which these technologies are adopted have impacted how compliance professionals and risk managers perform their responsibilities. Regulators also are moving quickly to ensure that existing laws and regulations account for the use of AI and ML and determine whether new rules and frameworks are needed. In the third part of its series on this topic, Artificial Intelligence and Machine Learning: Risk Management Considerations, the New York City Bar Associations Compliance Committee focuses on the use of AI and ML in the financial services industry with special attention to risk management considerations.
Program participants will hear from experts in risk management at financial institutions of varying sizes, consultants who advise clients, and regulators in the banking and securities industry on:
(i) the range of uses of AI and ML in financial services, including uses by compliance and other risk management professionals;
(ii) the determinations risk managers must make when relying upon AI/ML;
(iii) the considerations for risk management professions in reviewing/using AI/ML, especially from a model, compliance, and operational risk perspective, among others;
(iv) the existing and proposed governance, controls, and risk management frameworks covering AI/ML; and
(v) the challenges financial institutions face with the current regulatory framework(s) and opportunities for regulators to react to those challenges through further supervision, guidance and regulation.
Click Here to View Program Agenda & Faculty
Program Co-Chairs:
Jeff S. Rosenstrock, Compliance Sr. Officer, Wells Fargo & Co
Jerome Walker, Jerome Walker PLLC
Sponsoring Association Committee:
Compliance, Patrick T. Campbell, Chair