AI Data Fundamentals for Risk Assessment (DDN268)

Overview

Delivery method

Online

Duration

Less than 1 hour

Audience

All public servants at all levels

Description

As organizations increase their use of artificial intelligence (AI), strong data practices are essential for identifying and managing associated risks. This online self-paced course explains the data fundamentals needed to support AI auditing and risk assessment, including data quality, security, governance, and analytics. Participants will learn to assess data integrity, support privacy compliance, and use data to inform AI risk evaluations.

Topics include:

• assessing data quality and integrity
• applying data security and governance practices
• exploring privacy and regulatory considerations
• using analytics to support risk assessment