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The concept of 'algorithmic accountability' requires organizations to document and justify AI decision-making processes.
- True
- False
Answer: True
Algorithmic accountability mandates transparency in AI systems: documenting data sources, model design, testing results, and decision logic. Enables auditing, bias detection, and redressal. Supported by DPDP Act, sectoral guidelines, and global frameworks. Critical for high-stakes AI in finance, healthcare, and governance where decisions impact rights and opportunities.