Mathematical Finance & Financial Data Science Seminar
Algorithmic Auditing
Speaker: Srikanth Krishnamurthy, QuantUniversity, Adjunct Faculty - Northeastern University
Location: Online
Date: Tuesday, April 20, 2021, 5:30 p.m.
Synopsis:
AI and machine learning are entering every aspect of our life. Marketing, autonomous driving, personalization, computer vision, finance, wearables, travel are all benefiting from the advances in AI in the last decade. As more and more AI applications are being deployed in enterprises, concerns are growing about potential "AI accidents" and the misuse of AI. With increased complexity, some are questioning whether the models actually work! As the debate about fairness, bias, and privacy grow, there is increased attention to understanding how the models work and whether the models are thoroughly tested and designed to address potential issues.
The area "Responsible AI" is fast emerging and becoming an important aspect of the adoption of machine learning and AI products in the enterprise. Companies are now incorporating formal ethics reviews, model validation exercises, and independent algorithmic auditing to ensure that the adoption of AI is transparent and has gone through formal validation phases.
In this talk, Sri will introduce Algorithmic auditing and discuss why Algorithmic auditing will be a formal process industries using AI will need. Sri will also discuss the emerging risks in the adoption of AI and discuss how QuSandbox, his company is building, will address the emerging needs of formal Algorithmic auditing practices in enterprises.
References:
See https://hbr.org/2018/11/why-we-need-to-audit-algorithms for an introduction to Algorithmic Auditing.
Who is an algorithmic auditor?
https://www2.deloitte.com/content/dam/insights/us/articles/4767_FoW-in-govt/DI_Algorithm-auditor.pdf
Speaker Bio
Sri Krishnamurthy, CFA, is the founder of QuantUniversity, a data and quantitative analysis company, and the creator of the Analytics Certificate program and the Fintech Certificate program. He has more than 15 years of experience in analytics, quantitative analysis, statistical modeling, and designing large-scale applications. Previously, Mr. Krishnamurthy has worked for Citigroup, Endeca, and MathWorks and has consulted with more than 25 customers in the financial services and energy industries. He has taught more than 1,000 students in quantitative methods, analytics, and big data in the industry and at Babson College, Northeastern University, and Hult International Business School, many of whom work in data science roles at financial services firms. Mr. Krishnamurthy earned an MS in computer systems engineering and an MS in computer science from Northeastern University and an MBA with a focus on investments from Babson College.
Notes:
Registration: This event is free, but requires registration. Please click here to register.