Thursday, 12 February 2026

 

📘 Ultra Case Study 15 – AI-Based Welfare Exclusion Error Crisis


 Situation

A newly implemented AI-based system automatically determines eligibility for a welfare subsidy. After rollout, reports reveal that thousands of genuinely eligible beneficiaries were excluded due to algorithmic errors. Public outrage grows, and trust in digital governance declines.

📝 20-Mark Analytical Response

Immediate Relief: Suspend automated exclusion decisions temporarily and restore benefits to affected individuals through interim manual verification.

Technical Audit: Commission independent technical experts to review the AI algorithm for bias, design flaws, and data inaccuracies.

Transparency & Communication: Publicly acknowledge the issue, outline corrective steps, and provide grievance redressal channels.

Accountability Framework: Determine responsibility of vendors and administrative officials. Strengthen oversight in digital procurement processes.

Ethical Safeguards: Ensure “human-in-the-loop” decision-making in sensitive welfare schemes to prevent blind automation.

Long-Term Reform: Establish algorithmic accountability standards, periodic audits, and data protection compliance mechanisms.

Digital innovation must be guided by equity, transparency, and constitutional morality. Technology cannot replace ethical administrative judgment.


Prepared by Shaktimatha Learning
Technology + Equity + Accountability = 18–20 Mark Contemporary Mastery

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