Accountability in AI

Accountability in AI means ensuring that individuals or organizations responsible for AI systems are answerable for their design, deployment, and impacts. It involves clearly defining who is responsible for the AI’s decisions and outcomes, especially when errors or unintended consequences occur. This promotes transparency, ethical use, and trust, by making sure there are mechanisms to address issues, fix problems, and improve the system over time. Essentially, accountability ensures AI is used responsibly and that its effects are manageable and fair for all affected stakeholders.