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Indic Pacific Glossary

Accountability

Date of Addition

22 Mar 2025

The responsibility of AI developers, organizations, and stakeholders to ensure AI systems operate ethically, legally, and transparently. It involves mechanisms that enable AI decision-making to be monitored, explained, and challenged when necessary.


Accountability in AI can be categorised into several types: procedural accountability (ensuring transparent development processes), operational accountability (focusing on system performance and outcomes), ethical accountability (aligning AI with ethical norms), and legal accountability (complying with relevant regulations). In automated decision-making contexts, accountability ensures decisions are justified and transparent.

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