This event includes 2 hours of Ethics CPD
This course is developed in partnership with the Centre for Advancing Responsible Ethical Artificial Intelligence (CARE-AI) at the University of Guelph.
Big data and artificial intelligence (AI) are changing our world and raising unprecedented ethical issues.
CPAs must be prepared to grapple with ethical questions related to data and algorithms as AI and machine learning (ML) applications increasingly permeate business. In this CPA Ontario course, you will be introduced to ethical concepts such as bias, fairness, and privacy in the context of AI and ML. You will sharpen your ability to think critically and carefully about the challenges posed by big data and AI in today's workplace and in society at large.
You will also hear industry perspectives from Natalia Modjeska, Research Director at Info-Tech Research Group. Based on her extensive experience advising businesses on ethical and responsible AI, Natalia shares common misconceptions and questions that businesses must ask of any AI/ML application.
The course includes case studies, reflection questions, and a final quiz.
- Recognize and anticipate ethical issues stemming from AI/ML applications
- Cut through the hype and think critically about the ethical, legal, and social implications of AI/ML
- Identify key risk drivers behind bias and privacy violations in the use of big data
- Prepare to raise questions about the data that drives AI/ML applications
- Learn about the limitations of addressing ethical issues with regulation, legal compliance, and technical frameworks
WHO WILL BENEFIT
This course will benefit CPAs at all levels of an organization who wish to develop increased awareness of ethical issues in today's data-driven environment. CPAs who are exploring the use of AI/ML, and any CPAs working alongside data scientists, engineers, application developers, and other colleagues who design or implement AI/ML systems.
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 is 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.
Joshua August (“Gus”) Skorburg, is Assistant Professor of Philosophy and Co-Academic Director at the Centre for Advancing Responsible and Ethical Artificial Intelligence (care-ai.ca) at the University of Guelph.
Natalia Modjeska, is a Director, Research and Advisory for DnA (Data & Analytics) at Info-Tech Research Group. She brings more than 15 years of experience in developing, selling, and implementing analytical technologies and solutions to support business objectives.