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The growing reliance on Artificial Intelligence (AI) in corporate decision-making whether in hiring processes, data management, or other managerial functions raises pressing concerns about accountability when these systems infringe on data privacy or human rights. While frameworks such as the GDPR, the IT Act, and the proposed EU AI Act aim to regulate data protection, they remain unclear on who should be held responsible when an autonomous or semi-autonomous system makes a harmful decision. This paper explores where liability should fall: on the AI system itself, the organization that deploys it, or the developers who design and train it. It considers whether strict liability or negligence is more appropriate in such contexts, and whether corporations can be vicariously liable for outcomes generated by AI tools. The discussion also extends to the possibility of granting AI some form of legal agency, the duties of developers under cyber and tort law, and the oversight role of Data Protection Officers (DPOs). By examining real-world issues like recruitment algorithms that may unintentionally filter candidates unfairly, the study argues that accountability cannot rest with a single actor. Instead, a shared responsibility model is essential to create clarity and fairness in AI regulation under cyber law. This study contributes to shaping a coherent framework for AI accountability in cyber law.
Keywords:
Artificial intelligence, decision making, accountability, shared responsibility, legal personhood, AI developers, AI deployers, liability
Cite Article:
"LEGAL ACCOUNTABILITY FOR AI DRIVEN MANAGERIAL DECISIONS AND IMPLEMENTATION OF SHARED RESPONSIBILITY FRAMEWORK", International Journal for Research Trends and Innovation (www.ijrti.org), ISSN:2455-2631, Vol.10, Issue 12, page no.a129-a137, December-2025, Available :http://www.ijrti.org/papers/IJRTI2512018.pdf
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2456-3315 | IMPACT FACTOR: 8.14 Calculated By Google Scholar| ESTD YEAR: 2016
An International Scholarly Open Access Journal, Peer-Reviewed, Refereed Journal Impact Factor 8.14 Calculate by Google Scholar and Semantic Scholar | AI-Powered Research Tool, Multidisciplinary, Monthly, Multilanguage Journal Indexing in All Major Database & Metadata, Citation Generator