Description

The possibilities of artificial intelligence (AI) technology are nothing new. However, its unforeseen risks, including uncertainties regarding the ethical and legal use of data, warrant further consideration.

Corporations must develop AI governance to address these risks and to comply with emerging AI regulatory policies.

In this session, we will cover:

- The need for AI governance

- Key components of an AI governance framework

- Implementing AI governance policies, procedures, metrics, and measurement

- Improving AI governance

- Staying up to date on AI governance practices from a privacy risk management perspective

Effective privacy risk management is a critical driver for:

- Ensuring stakeholder trust

- Supporting business growth

- Improving corporate decision-making

Discover how robust privacy risk management in AI and generative AI adoption cultivates a resilient risk culture that drives your business toward its goals.

Instructor: Rena Wamsley

Target Audience

· Compliance officers

· Audit and assurance professionals

· Accounting and finance professionals

Course Objectives

· Recognize the need for privacy artificial intelligence (AI) governance.

· Identify key components of a privacy AI governance framework.

· Select the implementation of privacy AI governance policies and procedures, and metrics and measurement.

· Identify how to stay up to date with AI governance practices and the regulatory environment.

Subjects

· The need for AI governance

· Identifying, assessing, and mitigating privacy risks across the AI life cycle

· Cross-functional collaboration between privacy, legal, IT, compliance, and business teams

· Anticipating future legal and ethical expectations