Author's: Dr. Deepa Menon, Rahul Narayanv
Abstract: The deployment of autonomous AI systems across various sectors necessitates robust accountability mechanisms to ensure their ethical and responsible use. This paper investigates the current state of accountability in AI, exploring legal, technical, and ethical dimensions. By analyzing existing accountability frameworks and identifying gaps, the paper proposes a multidisciplinary approach to enhance accountability in autonomous AI systems. Case studies from industries such as healthcare, transportation, and finance illustrate the challenges and potential solutions in implementing effective accountability mechanisms. The paper also discusses the role of transparency, explainability, and human oversight in strengthening accountability.
Keywords: AI accountability, Autonomous systems, Ethical AI, Transparency, Human oversight
Full Issue
| View or download the full issue | PDF 16-24 |