Practical Approaches for Managing AI Bias (DDN274)

Overview

Delivery method

Online

Duration

Less than 1 hour

Audience

All public servants at all levels

Description

AI systems are increasingly helping to inform decisions across organizations, making it essential that decision-makers properly understand the influence of AI and its outcomes. This online self-paced course examines why bias is an inherent aspect of AI systems and how to manage AI bias through practical approaches. Participants will identify sources of AI bias, evaluate fairness trade-offs, and apply strategies to design, assess, and monitor AI solutions that support equitable outcomes.

Topics include:

• understanding why AI bias occurs and how to mitigate its impact
• exploring fairness trade-offs and the challenges of defining equitable outcomes
• applying data and design practices to reduce the likelihood of biased results
• evaluating AI outputs using fairness checks and auditing techniques
• monitoring AI systems over time to identify and address emerging bias issues