ACPEN: The Risks of Artificial Intelligence - Part 1

Overview

Artificial Intelligence (AI) is rapidly transforming industries and redefining how organizations operate. While the benefits of AI-efficiency, automation, data-driven insights, and innovation-are significant, the risks are equally profound and demand careful consideration. AI introduces a range of technical risks, such as bias, lack of transparency, data dependency, and vulnerability to manipulation. Ethical risks arise in the form of workforce disruption, diminished accountability, potential misuse, and the erosion of human autonomy. On a broader societal scale, AI threatens to widen inequalities, accelerate disinformation, and erode trust in institutions, while raising concerns of cultural homogenization and disproportionate power concentration among a few entities. Governance challenges further complicate the landscape, as regulation struggles to keep pace with technological advances, and questions emerge about the long-term safety and alignment of advanced AI systems.
Leaders and organizations must recognize that AI is not only a technological innovation but also a strategic risk management issue. Responsible adoption requires robust governance, transparent and ethical frameworks, ongoing monitoring, and human oversight. By proactively addressing these risks, organizations can balance innovation with accountability, safeguard trust, and position themselves for sustainable success in an AI-driven future.

Note:  This is Part 1 in a two-part series on the risks of AI

Highlights

• Artificial Intelligence
• Technical Artificial Intelligence
• Ethical Risks of Artificial Intelligence

Prerequisites

None

Designed For

Accountants, Auditors, Internal Auditors & Finance Professionals  

Objectives

Understanding AI

• Define AI and distinguish its different forms
• Recognize why AI adoption is accelerating across industries
• Identify the dual nature of AI-value creation vs. risk exposure

Technical Risks of AI

• Analyze how data bias leads to unfair AI outcomes
• Explain the implications of "black box" decision-making
• Recognize the cybersecurity vulnerabilities AI introduces
• Evaluate case studies of AI technical failures

Ethical Risks of AI

• Assess how AI impacts workforce roles and employment
• Understand ethical dilemmas in AI accountability
• Recognize the risks of AI-driven manipulation in society
• Debate real-world scenarios of ethical AI misuse

Preparation

Basic Understanding of Artificial Intelligence