The Risks of Artificial Intelligence - Part 1
1.60 Credits
Member Price $79
Non-Member Price $99
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
Leader(s):
Leader Bios
Lynn Fountain, Sole Proprietor
Lynn Fountain, CGMA, CRMA, MBA, has over 30 years of experience in the business profession, which includes public and industry accounting and over 20 years within internal and external auditing combined. She is a nationally recognized trainer and speaker and also a published author. She is a subject matter expert and specializes in Internal Audit, Sarbanes-Oxley, Enterprise Risk Management, Fraud, Governance and Compliance. Ms. Fountain has held two Chief Audit Executive positions for international companies. She has also been instrumental in the establishment of ERM, Sarbanes-Oxley and Governance frameworks.
Ms. Fountain has developed and delivered leading edge training sessions on the new COSO framework and has assisted companies in identifying risk gap analysis in their individual processes. She currently executes two highly recognized e-workshops for the Institute of Internal Auditors, one on Fraud and the second on Ethics. Both workshops have incorporate aspects of COSO 2013.
Ms. Fountain is in the process of authoring a publication for the IIA Research Foundation on aspects of fraud auditing. The publication is due out in 2015. In addition, she has performed as an adjunct instructor for the School of Business for Grantham University and the School of Business at the University of Kansas. Ms. Fountain obtained her BSBA from Pittsburg State University and her MBA from Washburn University in Kansas.
Non-Member Price $99
Member Price $79