Ethical Issues and Legal Frameworks in the Big Data Debate

Paganoni, Maria Cristina

doi:10.1007/978-3-030-16788-2_4

Framing Big Data 2019

DOI: 10.1007/978-3-030-16788-2_4

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Ethical Issues and Legal Frameworks in the Big Data Debate

Maria Cristina Paganoni

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2024

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An In-Depth Qualitative Interview

Burton,

Burrell,

Nobles

et al. 2024

Multisector Insights in Healthcare, Social Sciences, Society, and Technology

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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.

show abstract

An In-Depth Qualitative Interview

Burton,

Burrell,

Nobles

et al. 2024

Multisector Insights in Healthcare, Social Sciences, Society, and Technology

View full text Add to dashboard Cite

show abstract

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Ethical Issues and Legal Frameworks in the Big Data Debate

Cited by 1 publication

References 26 publications

An In-Depth Qualitative Interview

An In-Depth Qualitative Interview

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