Concurrent Session (Online)

GAE2027. Oversight and Accountability of Artificial Intelligence

As the federal government increasingly relies on artificial intelligence (AI) solutions to execute a variety of missions, it is critical that auditors rapidly enhance its evaluative capabilities in considering a range of policy, transparency and accountability issues as well as computational challenges given the speed of continuing technological advancements. GAO is undertaking an effort to develop an AI oversight framework. In alignment with principles promulgated under the Generally Accepted Government Auditing Standards (GAGAS), our work will encompass considerations such as assessment criteria, requirements for technical and governance artifacts, and evaluation practices. The overall objective is to assure complete, accurate, and evidence-based evaluation of AI systems.

Learning Objectives:

  • Current ecosystem of AI governance
  • Current state of AI oversight
  • GAO's iterative approach towards developing an AI oversight framework
Date/Time
Aug 18
3:55 PM–4:45 PM
CPE Credits
1.0
NASBA Field of Study
Auditing (Governmental)
Level
Update
Advanced Preparation
None
Session Tags
Federal
Speakers
Image of Taka Ariga

Taka Ariga

Chief Data Scientist and Director of Innovation Lab
U.S. Government Accountability Office
Image of Farahnaaz Khakoo-Mausel

Farahnaaz Khakoo-Mausel

Ph.D.
U.S. Government Accountability Office