Welcome remarks at the memorial lecture highlight Dr. H.R. Bhardwaj’s legacy in law, governance, and education, tying the event to themes of technology, justice, and modernization of India’s legal system.

The press release from OP Jindal University is noted as part of the event coverage, with an advertorial disclaimer.

Family members of Dr. Bhardwaj attended the event, including his wife and descendants, and remarks were delivered by Prof. Dabiru Sridhar Patnaik, Registrar of OP Jindal Global University.

The lecture addresses data privacy and algorithmic biases, praising RBI and SEBI for prioritizing institutional safety over individual consent, including RBI’s Seven Sutras mandating human-overridable decisions to counter hidden AI inferences.

India’s Supreme Court has already implemented AI initiatives under E-Courts Phase III, including SUVAS for translation, AI-based transcription for Constitution Bench matters, LegRAA for legal research, and AI aiding electronic filing by flagging procedural defects.

He calls for capacity building in the judiciary and the creation of new university courses on the ethical, constitutional, and procedural dimensions of AI deployment to ensure responsible use in law.

Rather than an outright ban, he proposes safeguards—the digital seatbelts—including a regulatory framework for judicial AI, indigenous Indian AI systems, judiciary-oriented capacity-building, and integrating AI ethics and constitutional law into curricula.

Justice Manmohan of the Supreme Court of India argues that AI in law requires institutional oversight and enforceable accountability, with human judgment at the center and a regulatory framework tailored to India's context.

The report includes background on Dr. Bhardwaj’s career and legacy, along with organizational details for SocialNews.XYZ.

The discussion references LegRAA, a generative AI trained on Indian case law, and the Chief Justice of India’s unveiling of the one case data initiative and the AI chatbot Su Sahay, emphasizing AI as assistive rather than determinative.

Ethical hazards such as AI-generated fabricated precedents are warned against, with a call for a stricter Duty of Verification referencing the Usha Rani case.

Privacy and data-inference concerns are raised, including consent and downstream consequences of data use in AI systems, underscoring the need for safeguards.