This article was originally shared by CPA Canada and would be of interest to those looking to design systems to achieve trustworthy artificial intelligence (AI). For more information, visit CPACanada.ca.
Technology and AI systems add value to business processes and greatly improve productivity. However, there are risks associated with technologies that use machine-learning algorithms. If the proper framework is not in place to manage risk from a corporate and regulatory perspective, ethical issues can present themselves.
This recent publication from CPA Canada explores how CPAs can provide their insights to assist in the ethical design of these systems and the collection and analysis of information. It also details the steps CPAs can take in the implementation of system and controls to achieve trustworthy AI.
