Risk Management and Governance of AI Based Systems

PRMIA Boston presents: Risk Management and Governance of AI Based Systems.
 
  Date:
March 4, 2024

  Time:
5:30 - 7:30 p.m. EST

  Presented By:
Alec Crawford
Julia Li

Sri Krishnamurthy    
Moderated by:
Dan diBartolomeo

 Location:
Suffolk University Sargent Hall 
5th Floor, Commons 
120 Tremont Street, Boston, MA 02108 

 

The field of artificial intelligence has evolved at an incredibly rapid rate in the past few years.   AI applications promise to revolutionize the way we live and work.   At the same time, the risk of AI systems producing catastrophically false output for users (the computer equivalent of hallucinations) remains a pervasive concern.  Even more extreme, some leading AI scientists assert there is a real risk of AI systems turning against their human masters, as foretold in many works of science fiction.  

One may logically inquire how AI systems can be perfected when they are created by imperfect humans.   As expressed by Professor Amos Tversky, “My colleagues study artificial intelligence.  Me, I study natural stupidity”.   This suggests that governance and risk management of AI will be of critical importance in the years ahead. This seminar brings together three experts in the field of AI risk management and governance with particular emphasis on financial services.  

Each of our speakers will make individual remarks and then take questions from the audience.  

 


Speakers  

  
 
 

Alec Crawford is the former chief risk officer of Lord Abbett mutual funds.  He is one of the founders of a firm focused on AI risk compliance, Home | AICRisk.   Alec has a long history with AI going back to graduate school. 

Julia Li is a Senior Vice-President of State Street Corporation.  She heads “model risk management” which provides for validation and governance of analytical models and related systems across one of the world’s largest financial entities. 

Sri Krishnamurthy is founder of the data science training program “Quant University” and a part time professor at Northeastern University in Boston.  He is the author of recent publications on AI risk management. PRMIA and Quant University collaborate on training services for PRMIA members.

Moderator:

Dan diBartolomeo, Boston Regional Director for PRMIA and president of Northfield Information Services, Inc.  

 

 

 

Continued Risk Learning Credits: 1

PRMIA Continued Risk Learning (CRL) programs provide you with the opportunity to formally recognize your professional development, documenting your evolution as a risk professional. Employers can see that you are not static, making you a highly valued, dynamic, and desirable employee. The CRL program is open to all Contributing, Sustaining, and Risk Leader members, providing a convenient and easily accessible way to submit, manage, track and document your activities online through the PRMIA CRL Center. To request CRL credits, please email [email protected].

When
3/4/2024 5:30 PM - 7:30 PM
Eastern Standard Time
Where
Boston
 

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