Ethical, Legal, and Regulatory Dimensions of Predictive AI

Authors

Synopsis

Ethical, legal, and regulatory aspects of predictive artificial intelligence are examined. Predictive AI is used in sections 3, 4, 5, and 6, with cross-references in the respective ethical, legal, and regulatory subsections. Predictive artificial intelligence (AI) processes data to generate predictions about the future. Predictive AI technologies are evolving rapidly, with their range of applications expanding across sectors including healthcare, finance, education, defense, and employment. Several ethical, legal, and regulatory issues arise, including fairness, privacy, bias, transparency, accountability, and the impact on employment, social structures, and human decision-making. The ethical implications are particularly important in areas of high-stakes decision-making such as sentencing, policing, child protection, and border control.

Downloads

Published

8 October 2025

How to Cite

Aitha, A. R. . (2025). Ethical, Legal, and Regulatory Dimensions of Predictive AI. In Predictive Autonomy: Deep Learning Agents for Insurance Risk and Fraud Management (pp. 143-157). Deep Science Publishing. https://doi.org/10.70593/978-93-7185-061-2_10