Dates and location
Pricing
Hours
Dates and location
Pricing
Hours
Description
This documentary-based course explores the critical intersection of technology, ethics, and professional responsibility. Using the award-winning documentary film Coded Bias as a case study, the course examines how algorithmic bias influences accounting, auditing, finance, law, and corporate governance and how professionals can identify, understand, and mitigate these emerging risks.
Through documentary-based learning, expert analysis, and the Ten Laws of Responsible AI Corporate Governance, participants will explore real-world frameworks for managing legal and ethical risks in AI adoption across accounting, finance, law, and governance functions. This course makes clear that algorithmic bias goes beyond justice or anti-discrimination; it also challenges core principles of professional ethics and governance, which are essential to ensuring fair and responsible decision-making.
Developed by Garrick Apollon, JD, LLB, LLM, CFE, Founder of CPE Studios, Professor, and Director of Entrepreneurship & Innovation at the Faculty of Law (Common Law Section), University of Ottawa, with contributions from Dr. Melvin Greer, this course bridges the worlds of data science, law, and ethics.
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Other Courses from CPE Studios
Key Takeaways
Participants will learn how to:
- Recognize Algorithmic Bias in accounting, audit, legal, and financial AI systems.
- Analyze Root Causes and Implications of bias in AI from ethical, legal, and professional perspectives.
- Develop Mitigation Strategies using responsible data governance and human oversight.
- Integrate Ethical AI Principles into corporate governance, and compliance frameworks.
- Understand the importance of Audit and Assess Data Integrity through Algorithmic Impact Assessments (AIAs).
- Understand the Emerging Role of Algorithmic Auditors, professionals trained to certify that AI systems are safe, ethical, and legally compliant.
- Foster Cross-Professional Collaboration between accountants, data scientists, legal counsel, compliance officers, and executives.
- Lead with Integrity and Foresight by applying the Ten Laws of Responsible AI Corporate Governance to organizational decision-making.
Who Will Benefit
By linking the lessons of the documentary Coded Bias to real-world professional practice, this course equips CPAs and business professionals with the insights and frameworks needed to navigate the ethical challenges of AI responsibly and to prevent human bias from becoming embedded in machines and AI systems.
Disclaimer
The views expressed in the course are non-authoritative and have not been formally endorsed by CPA Ontario and do not reflect the views of CPA Ontario. The information included in the course if for general information purposes only.
CPA Ontario, the presenters and the authors do not accept any responsibility or liability that might occur directly or indirectly as a consequence of the use or application of or reliance on this material.
How to Access the Course
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To access the course on your computer please visit our BlackBoard site, and log-in using the same login and password used for the Registration Portal.
Please allow up to 15 minutes after registration for the course to appear on your BlackBoard page.
Registration, cancellation, withdrawal and all other CPA Ontario PD policies can be found here.
Speaker(s)
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Garrick Apollon, JD, LLB, LLM, LLCM, CFE, is the Founder of CPE Studios and a documentary filmmaker with eight films in his filmography. He also serves as Professor and Director of Entrepreneurship & Innovation at the Faculty of Law, Common Law Section, University of Ottawa. A corporate lawyer called to the Law Society of Ontario, he has over 20 years of experience practicing corporate law and teaching in law and management at the Telfer School of Management (BCom, MBA, and EMBA programs). He specializes in legal risk management, governance, negotiation, and ethics, and is also a Certified Fraud Examiner with the Association of Certified Fraud Examiners. |
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Dr. Melvin Greer is a former Chief Data Scientist at Intel Corporation and served as a Senior Fellow in data science and AI for the Federal Bureau of Investigation. He held academic roles at Johns Hopkins University (AI & Data Science) and University of California, Berkeley (Tech Policy Initiative). He founded TechElevate Lab, where he acts as a Fractional Chief AI Officer guiding small- and medium-sized enterprises in ethical, safe and responsible AI adoption. He also leads The Greer Institute, a non-profit dedicated to advancing STEM education for youth and undergraduates. |
