An In-Depth Qualitative Interview-Reference-Cited by-同舟云学术

An In-Depth Qualitative Interview

Published:2024-02-27 Issue: Volume: Page:248-269
ISSN:2327-9354
Container-title:Advances in Medical Technologies and Clinical Practice
language:
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Author:

Burton Sharon L.¹^ORCID,Burrell Darrell N.²^ORCID,Nobles Calvin³,White Yoshino W.⁴,Dawson Maurice E.³,Brown-Jackson Kim L.¹^ORCID,Muller S Rachid⁵^ORCID,Bessette Dustin I.⁶^ORCID

Affiliation:

1. Capitol Technology University, USA

2. Marymount University, USA

3. Illinois Institute of Technology, USA

4. Florida State University, USA

5. Arizona State University, USA

6. Mt. Hood Community College, USA

Abstract

AI is impacting consent and transparency adversely. Although AI can potentially augment transparency in decision-making via advanced technology, it is creating new concerns. This chapter focuses on the impact of AI systems on individuals' ability to provide informed consent for using their data, and the relationship between transparency in AI decision-making processes and issues related to accountability and trust. Discussed are GDPR (European Union General Data Protection Regulation), and CCPA (California Consumer Privacy Act) due to their consent and transparency within their broader privacy protection frameworks. Applied is a qualitative methodology and in-depth interview design using a communication and collaboration platform to explain the connection between AI consent and transformation. Research results offer avenues to understanding the challenges of informed consent and legal and ethical considerations regarding consent and transparency. Beneficiaries of this research are practitioners, academics, and learners in AI, cybersecurity, and criminology/criminal justice.

Publisher

IGI Global

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