Who is accountable when AI makes an error?

Artificial Intelligence Change Management Ethics

Soummo Chakma Dhaka, Bangladesh

As organizations bring AI into real project environments, new ethical and organizational challenges appear—such as unclear ownership of decisions, hidden bias in AI outputs, over-reliance on automation, and the risk of making inaccurate or unfair project decisions. How should we manage these risks and define accountability?

Posted: Dec 4, 2025 4:33 PM

Sort By:

< 1 2 >

SAGAR ZENDE PERTH, Australia

AI can do the heavy lifting, but it can’t take responsibility. Decisions should never be on autopilot.
AI only knows what we teach it. If our past project data is biased or unrealistic, the AI is just going to replicate those exact mistakes faster. It's super easy to get lazy and just assume the dashboard is always right.

Lets treat AI outputs like any other project deliverable. It needs a quality verification!

Posted: Jul 7, 2026 3:54 AM

< 1 2 >

Please login or join to reply

Who is accountable when AI makes an error?

Sponsors

Newsletters