Overview of Ethics & Compliance (DEAI-01)

This course provides a high-level overview of the board's role in ethics and compliance and explores how ethics and risk management frameworks can be applied to business-related scenarios. Learners will also review the key components of an effective ethics and compliance program and look at real-world examples to bring core concepts to life.

At the conclusion of this course, you will be able to:

• Explain how ethics is linked to the board's oversight and fiduciary responsibilities
• Understand ethical, compliance and risk management frameworks and how they can be applied to business
• Identify key areas of compliance for organizations, highlighting the differences between corporate and regulatory compliance
• Recognize the key components of an effective ethics and compliance program

Overview of Artificial Intelligence (DEAI-02)

This course introduces artificial intelligence (AI) by defining generative AI, machine intelligence and related technologies and practice areas. Participants explore the history and context of AI, how it is currently being deployed in business applications and the associated opportunities and risks. This course provides helpful case studies to illustrate these concepts.

At the conclusion of this course, you will be able to:

• Understand what generative AI and machine intelligence are and some of AI’s applications in today’s business landscape
• Identify the key opportunities AI presents, such as powering data-driven decisions and building operational efficiencies
• Recognize the key risks that AI brings, such the potential to introduce or increase bias and erode stakeholders’ trust
• Review case studies providing industry-specific AI risks and opportunities (edited)

Aligning AI with Ethics & Compliance (DEAI-03)

This course ties together the basic concepts about ethics and AI technologies in the context of emerging regulation, compliance and risk management frameworks. After providing a snapshot of the current legal and regulatory landscape, participants will consider sample AI ethical dilemmas and explore how AI risk can be overseen through existing risk management frameworks.

At the conclusion of this course, you will be able to:

• Identify the key regulations in North America, the UK, EU and Australia that currently apply to AI, and better understand where the regulatory landscape might be headed
• Understand the evolution of AI as an ethical consideration across industries and regions of the world
• Define corporate ethics and compliance in the context of AI, including how and why AI should be a core ethics and compliance program consideration
• Review the application of risk management frameworks applied to AI
• Gain some lessons learned about ethics and compliance from case studies of real-world applications of AI

AI Governance & Oversight (DEAI-04)

This course provides models for the governance and oversight of AI ethics. The course begins by providing examples of board and committee oversight of AI, ethics and innovation, including a review of reporting and other mechanisms to promote transparency. Then, the course dives into how to build a strong relationship between the board and senior management, exploring the roles of CEO, Chief Ethics & Compliance Officers, Chief Technology Officers, CIOs and other members of the executive team to promote ethical AI development and implementation.

At the conclusion of this course, you will be able to:

• Identify governance and oversight models for ethical AI development and implementation
• Better understand how to promote a strong strategic partnership between the board and executive team around AI ethics
• Learn from a set of case studies and expert interviews on how strong ethics and compliance programs should work in the context of AI