An In-Depth Qualitative Interview
Sharon L. Burton, Darrell Norman Burrell, Yoshino W. White, Calvin Nobles, Maurice Eugene Dawson, Kim L. Brown-Jackson, S. Raschid Muller, Dustin I. Bessette · Advances in human and social aspects of technology book series · 2024
AI (artificial intelligence) is impacting privacy positively and negatively. While AI has the potential to enhance privacy through improved security measures and data protection, it is creating new types of digital privacy harms. The chapter focuses on privacy risks and challenges (i.e., data breaches, profiling and surveillance, algorithmic bias, deepfakes and technology, and predictive analytics), including how AI can bolster security measures and data protection. Regulatory responses, such as the General Data Protection Regulation (GDPR) and the California Consumer Privacy Act (CCPA), are discussed as attempts to address these challenges. Through this chapter, this researcher applies a qualitative and in-depth interview methodology and design to explain the multifaceted relationship between AI and privacy in the digital age. Research results offer avenues to address privacy risks and challenges. Benefactors of this research are practitioners, academics, and learners in AI, cybersecurity, and criminology/criminal justice.