An In-Depth Qualitative Interview: The Impact of Artificial Intelligence (AI) on Consent and Transparency

An In-Depth Qualitative Interview: The Impact of Artificial Intelligence (AI) on Consent and Transparency
Book Chapter
Sharon L. Burton, Darrell N. Burrell, Calvin Nobles, Yoshino W. White, Maurice E. Dawson, Kim L. Brown-Jackson, S Rachid Muller, Dustin I. Bessette
Multisector Insights in Healthcare, Social Sciences, Society, and Technology, 2024 [IGI Global]
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 transparency. 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.