01375nam a22001457a 4500999001900000008004100019100004700060245007800107260006700185300003300252520076200285773006701047942000701114952010801121  c532698d532698260224b           ||||| |||| 00| 0 eng d  aDutta, Suryanshu and Sakshi, Shah, 959574  aAI bias, liability and corporate accountability: A governance perspective  aChartered Secretary: The Journal for Governance Professionals   a55(10), Oct, 2025: p.129-132  aArtificial Intelligence is now embedded in corporate governance, assisting in compliance reporting, agenda setting, and risk identification. For Company Secretaries, whose statutory role under the Companies Act, 2013 is to safeguard compliance and advise the board, the challenge lies in confronting outputs that appear authoritative yet may be unreliable. This article treats algorithmic bias as a governance problem with legal consequence. It considers potential liabilities under domestic law, reviews global regulatory approaches, and outlines a framework through which Company Secretaries can preserve accountability and ethical standards in an era of technological adoption.- Reproduced 

https://www.icsi.edu/media/webmodules/CSJ/October_2025/22.pdf
  aChartered Secretary: The Journal for Governance Professionals   cAR  00102ddc40709407875aIIPAbIIPAd2026-02-24h55(10), Oct, 2025: p.129-132pAR138231r2026-02-24yAR