Affiliation:
1. University of the Cumberlands, USA
Abstract
With the growth of ubiquitous digital technologies, such as artificial intelligence and machine learning, specialized training and preparation are needed to best guide social science researchers for human research protections that involve protections for data with personally identifiable information. Some human research protection (HRP) officers have called for a Belmont 2.0 that offers more aligned guidance for HRP programs and institutional review boards (IRB) to address data ethics in this new era. This chapter presents an analysis of the shifting climate of HRP data ethics, Belmont Principles, and IRB and HRP implications for artificial intelligence, machine learning, data mining/scraping, and other ubiquitous technologies.