The Risks of Artificial Intelligence - Part 2
1.80 Credits
Member Price $79
Non-Member Price $99
Overview
As artificial intelligence (AI) becomes deeply integrated into business operations and decision-making, organizations must recognize that effective oversight extends beyond technical safeguards.The governance, risk and control (GRC) responsibilities of AI also carry a cultural dimension requiring alignment with corporate ethical values ethical principles and accountability structures.Cultural governance emphasizes leadership commitment, employee engagement and cross-function ownership of AI practices to ensure trust and transparency. AI-related risks – ranging from bias and ethical concerns to regulatory compliance, reputational exposure and operational vulnerabilities necessitate robust control frameworks and proactive mitigation strategies. These include governance structures, policies, risk assessments, transparency measures, and continuous monitoring. By embedding cultural governance and mitigation responsibilities into enterprise AI initiatives, organizations can responsibly harness innovation while safeguarding stakeholders, protecting reputation and ensuring sustainable long-term value.
Note: This is Part 2 in a two-part series on the risks of AI
Highlights
- Society and cultural risks of AI
- Governance and control risks of AI
- Mitigation and Responsible AI
Prerequisites
Risks of AI - Part 1
Designed For
Accountants, Auditors, Internal Auditors & Finance Professionals
Objectives
Societal and Cultural Risks
- Explain how AI may exacerbate economic and social divides
- Identify the role of AI in spreading disinformation
- Evaluate the impact of AI on trust and credibility
- Discuss cultural and geopolitical risks of AI dominance
Governance and Control Risk
- Understand how regulation lags behind AI development
- Identify corporate and geopolitical risks of AI dominance
- Evaluate AI’s role in cybersecurity threats
- Discuss long-term debates around AI alignment and safety
Mitigation and Responsible AI
- Apply ethical frameworks to assess AI adoption
- Recommend governance structures for AI oversight
- Design approaches to keep human judgment central
- Propose workforce strategies for adapting to AI-driven change
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