Volume 1, Issue 5 - March 2026
Artificial intelligence (AI) systems deployed in the processing of data increasingly influence decision making in various sectors including healthcare, employment, finance, hospitality, and public governance. While these technologies enhance service delivery and provide efficient and predictive analysis, they also raise serious concerns regarding the protection of privacy and fundamental human rights. The research examines the implications of AI-driven automated decision-making on the right to privacy, with focus on the legal challenges facing the deployment of AI in automated decision-making. The research problem is whether the existing legal frameworks adequately safeguard fundamental rights of individuals against privacy risks arising from algorithmic systems, profiling activities, and reduced human oversight. The objective of this research is to critically assess the extent to which the existing legal regimes, particularly the EU’s General Data Protection Regulation (GDPR) and EU Artificial Intelligence Act address the privacy concerns arising from deployment of AI technologies. I adopted the Doctrinal methodology involving a systematic analysis of primary and secondary sources of law which include statutes, subsidiary instruments, case laws, scholarly literature on data protection and AI governance. This study finds that while the GDPR introduced foundational principle such as the right not to be subject to solely automated decisions, data minimization, accountability and transparency obligations, the EU AI Act introduced a complementary risk-based approach, enacting strict requirements for high-risk AI technologies, improved accountability, and oversight mechanisms. However, significant gaps remain, especially concerning algorithmic opacity, limited practical enforceability of transparency rights, and insufficient guarantees of meaningful human intervention. These challenges undermine individual autonomy and privacy. This study is significant in advancing scholarly and policy debates on AI regulation and privacy protection by identifying structural weaknesses in existing legal frameworks. It concludes that more robust and harmonized regulatory measures are necessary. This research recommends strengthening transparency standards, improving accountability for AI developers and deployers, and ensuring effective human oversight to protect privacy and human rights in the digital era.
Artificial intelligence, Legal, Privacy, Policy
Ebenezer Amadi, "Artificial intelligence and the right to privacy: Examination of the legal challenges facing the deployment of artificial intelligence in the age of automated decision-making", Cosmo Research & Science International Journal, vol. Jul-25, no. 1, pp. 135-144, 2026.
Ebenezer Amadi (2026). Artificial intelligence and the right to privacy: Examination of the legal challenges facing the deployment of artificial intelligence in the age of automated decision-making. Cosmo Research & Science International Journal, Jul-25(1), 135-144.
Ebenezer Amadi. "Artificial intelligence and the right to privacy: Examination of the legal challenges facing the deployment of artificial intelligence in the age of automated decision-making." Cosmo Research & Science International Journal, vol. Jul-25, no. 1, 2026, pp. 135-144.
@article{CRSIJ26000090,
author = {Ebenezer Amadi},
title = {Artificial intelligence and the right to privacy: Examination of the legal challenges facing the deployment of artificial intelligence in the age of automated decision-making},
journal = {Cosmo Research and Science International Journal},
year = {2025},
volume = {1},
number = {5},
pages = {135-144},
issn = {3108-1584},
url = {https://cosmorsij.com/published/CRSIJ26000090.pdf},
abstract = {Artificial intelligence (AI) systems deployed in the processing of data increasingly influence decision making in various sectors including healthcare, employment, finance, hospitality, and public governance. While these technologies enhance service delivery and provide efficient and predictive analysis, they also raise serious concerns regarding the protection of privacy and fundamental human rights. The research examines the implications of AI-driven automated decision-making on the right to privacy, with focus on the legal challenges facing the deployment of AI in automated decision-making. The research problem is whether the existing legal frameworks adequately safeguard fundamental rights of individuals against privacy risks arising from algorithmic systems, profiling activities, and reduced human oversight. The objective of this research is to critically assess the extent to which the existing legal regimes, particularly the EU’s General Data Protection Regulation (GDPR) and EU Artificial Intelligence Act address the privacy concerns arising from deployment of AI technologies. I adopted the Doctrinal methodology involving a systematic analysis of primary and secondary sources of law which include statutes, subsidiary instruments, case laws, scholarly literature on data protection and AI governance. This study finds that while the GDPR introduced foundational principle such as the right not to be subject to solely automated decisions, data minimization, accountability and transparency obligations, the EU AI Act introduced a complementary risk-based approach, enacting strict requirements for high-risk AI technologies, improved accountability, and oversight mechanisms. However, significant gaps remain, especially concerning algorithmic opacity, limited practical enforceability of transparency rights, and insufficient guarantees of meaningful human intervention. These challenges undermine individual autonomy and privacy. This study is significant in advancing scholarly and policy debates on AI regulation and privacy protection by identifying structural weaknesses in existing legal frameworks. It concludes that more robust and harmonized regulatory measures are necessary. This research recommends strengthening transparency standards, improving accountability for AI developers and deployers, and ensuring effective human oversight to protect privacy and human rights in the digital era.},
keywords = {Artificial intelligence, Legal, Privacy, Policy},
month = {March}
}