Belmont 2.0: Ethical Research Expectations for PII in AI, ML, and Data Mining/Scraping

View Sample PDF

Author(s): Robin Throne (University of the Cumberlands, USA)and Michalina Hendon (University of the Cumberlands, USA)
Copyright: 2024
Pages: 19
Source title: Methodologies and Ethics for Social Sciences Research
Source Author(s)/Editor(s): Aytekin Demircioğlu (Kastamonu University, Turkey)
DOI: 10.4018/979-8-3693-1726-6.ch001

Keywords: Information Ethics / Information Science Reference / Research Methods / Security & Forensics

Purchase

View Belmont 2.0: Ethical Research Expectations for PII in AI, ML, and Data Mining/Scraping on the publisher's website for pricing and purchasing information.

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.

The IRMA Community

Research IRM

Belmont 2.0: Ethical Research Expectations for PII in AI, ML, and Data Mining/Scraping

Purchase

Abstract

Related Content

IRMA Sponsors