Algorithmic Bias

AI ECOSYSTEM FOR THE JUDICIARY: SWADESHI JURISPRUDENCE, TECHNOLOGY AND THE FUTURE OF JUSTICE DELIVERY

Indian judiciary pioneers a 'Swadeshi Jurisprudence', developing an indigenous AI ecosystem to tackle massive case backlogs and improve linguistic access. The Draft AI Regulations 2026 mandate human oversight, strictly prohibiting automated adjudication to safeguard constitutional integrity.

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SUPREME COURT DRAFT AI RULES 2026 EXPLAINED

The Supreme Court's 2026 draft regulations permit artificial intelligence for administrative tasks but strictly ban its use in core judicial decision-making. The framework emphasizes human primacy, transparency, and accountability to protect constitutional rights from algorithmic bias and opacity.

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AI IN MENTAL HEALTH: HELPFUL OR HARMFUL?

AI mental health tools improve access and affordability but create serious risks. Data privacy, bias and the absence of human empathy can harm vulnerable users. India must enforce strong rules like the DPDP Act and ensure a human-in-the-loop model so AI supports, not replaces, real care.

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AI IN EDUCATION: OPPORTUNITIES, CHALLENGES, WAY FORWARD

AI can transform Indian education through personalized learning, aligning with the National Education Policy. However, its successful and fair integration requires addressing challenges like the digital divide, data privacy, and algorithmic bias. This will necessitate investments in infrastructure, teacher training, and ethical regulations.

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AI IN JUDICIARY: SIGNIFICANCE, CHALLENGES, WAY FORWARD

Judiciary is integrating AI for efficient, transparent, and accessible justice. Initiatives like SUPACE and SUVAS help judges with research and translation. However, AI presents ethical challenges like data privacy and algorithmic bias. A human-centric approach is crucial for fairness, justice, and accountability.

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