Event Details |
December 2020 Ethics Training: AI, Information Technologies, and Fraud Detection: Ethical Issues |
12/17/2020 |
1:00 pm - 3:00 pm |
Virtual Zoom Meeting |
Spokane IIA December 2020 Ethics Training:
Fraud investigations by definition involve the gathering, generation, and analysis of information. Modern information technologies, like data mining algorithms and artificial intelligence driven data analytics, will increasingly become necessary tools for fraud examiners. In this session we will discuss some of the ethical concerns that arise in the use of such information technologies as integral pieces in successful fraud investigations.
There will be polling questions throughout the event and you must answer 75% of the questions asked in order to receive CPE.
Presenter:
The Spokane IIA is excited to welcome Dr. Brian K. Steverson to present this topic to our Chapter!
Dr. Steverson is the John L. Aram Chair of Business Ethics in the School of Business Administration at Gonzaga University. Prior to assuming the Aram Chair, in 2008, he was a member of the Philosophy Department since 1992. He received his Ph.D. from Tulane University in 1991. He served as Faculty President at Gonzaga from 2014-2018. He was also a Faculty Regent from 2015-2018. His main areas of current scholarship are business ethics, professional ethics, and the ethics of entrepreneurship. His work has appeared in Environmental Ethics, the Online Journal of Ethics, Topics in Contemporary Philosophy, the Business and Professional Ethics Journal, the Journal of Ethics & Entrepreneurship, and the Journal of Jesuit Business Education. His The Ethics of Employment Screening for Psychopathy is in press with Lexington books. He is currently working on another book, An Ethics Primer for Fraud Examiners. He is also doing research with a colleague on entrepreneurs as agents of normative social change.
Instructional delivery method: Group Live (Delivered online due to COVID-19)
Field of Study: Ethics
CPE credit: Up to 2 hours
Prerequisites: None required