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Who should be liable for decisions made by automated systems in critical applications?
Asked on Feb 12, 2026
Answer
Determining liability for decisions made by automated systems in critical applications involves understanding the governance frameworks and accountability mechanisms in place. Typically, liability is shared among developers, operators, and organizations deploying the AI, with clear documentation and risk assessments guiding responsibility.
Example Concept: In critical applications, liability is often addressed through a combination of governance frameworks and accountability measures. Developers are responsible for ensuring the system is designed ethically and safely, operators must monitor and manage the system's performance, and organizations are accountable for the deployment and oversight of the AI. This shared responsibility is often documented in compliance with standards like ISO/IEC 42001 and involves regular audits and risk assessments to ensure all parties meet their obligations.
Additional Comment:
- Organizations should implement comprehensive risk management frameworks to assess potential liabilities.
- Regular audits and transparency reports can help clarify accountability and ensure compliance with ethical standards.
- Legal frameworks and industry standards may dictate specific liability requirements, which should be integrated into governance processes.
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