NASACT Webinar: From Algorithms to Accountability: Exploring Ethical Considerations for Generative AI

NASACT is pleased to announce the latest in its series of training events addressing timely issues in government accounting, auditing, and financial management.  

The rapid development and deployment of Generative AI (Gen AI) has ignited both promise and uncertainty. As we navigate this uncharted territory, the question of ethical implementation arises. In this webinar, we will embark on a journey to delve into the complex ethical implications of this technology and explore its implications for government finance and audit professionals.

This webinar will offer insights from moral philosophical frameworks and their application to Gen AI to address concerns from bias to broader societal impact. By connecting these frameworks to real-world scenarios, we will equip you with a better understanding of the considerations at play. Join us to learn more about the complexities of Gen AI’s ethical landscape and how we may establish guidelines for ethical use. Secure your place now to take part in a timely conversation about this revolutionary technology. 

General Information
  • Date: 11/01/2023
  • Time: 11 a.m. – 12:25 p.m. (local time)
  • CPE: 1.5 credit(s)
Learning Objectives

At the end of this webinar, attendees should be able to:

  • Understand the key ethical frameworks associated with generative AI.
  • Apply ethical considerations to practical situations faced in today’s work environment.
  • Understand key risk areas. 
Field of Study
  • Behavioral Ethics 
Registration

Space is limited. Register by 10/29/23.

  1. Visit the Yes webpage.
  2. Click Login under the “Online Learning Portal”.
  3. This will launch the TraCorp Learning Platform.
  4. Once logged into TraCorp, Click "Assigned Content".
    • For those who have a Full Access or Limited Access (FA or LA) TraCorp account, Click on My Student before launching content.
  5. In the search field to the left, enter “GAO Hosted Webinar”.
  6. Under the Upcoming Session, click "Register" for the November 1, 2023 session.
  7. You will receive a confirmation email with access instructions.
Author
GAO
Date