Consent without Disclosure: Trade Secrets, Copyright and the Black Box of AI Training Data in India

Authors

  • Heli K. Bhavsar 4th Year Law Student, Institute of Law, Nirma University, Ahmedabad Author
  • Syona Arya 4th Year Law Student, Institute of Law, Nirma University, Ahmedabad Author

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DOI:

https://doi.org/10.55662/SALRJ.2026.1201

Keywords:

trade secrets, AI training data, consent to be recorded, consent to become training data, physical AI

Abstract

When a Bengaluru home-services start-up, Pronto, was reported in May 2026 to be using in-home cameras during service bookings, and declined to say whether the resulting footage would feed India's emerging ‘physical AI’ and robotics industry, it exposed a gap that copyright and privacy scholarship in India have so far examined separately: the space between ‘consent to be recorded’ and ‘consent to become training data’. This essay argues that trade secrecy — which AI developers routinely invoke to withhold details of the origin, composition and downstream use of training datasets — functions as a shield that can render both the Digital Personal Data Protection Act 2023's consent architecture and the Copyright Act 1957's infringement remedies practically unenforceable. Drawing on comparative material from the European Union's AI Act and on recent litigation in the United States, the essay develops a four-part ‘Legality-Relevance Test’ and a five-layer disclosure model suited to Indian civil procedure.

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References

'Reconciling Trade Secrets and AI Public Transparency' Cambridge Law Journal (Cambridge Core, 2026) https://www.cambridge.org/core/journals/ cambridge-law-journal/article/reconciling-trade-secrets-and-ai-public-transparency/932A5A443D6CB16EC803911512B5036D accessed 1 August 2026.

'Copyright and AI training data — transparency to the rescue?' (2025) 20(3) Journal of Intellectual Property Law & Practice 182. DOI: https://doi.org/10.1093/jiplp/jpae102

'Intellectual Property and Personal Data in AI Datasets Under India's DPDP Act 2023' Trends in Intellectual Property Research (2026) https://iprtrends.com/TIPR/article/view/109 accessed 1 August 2026, examining the purpose test in Super Cassettes Industries Ltd v Hamar Television Network Pvt Ltd (2011) 45 PTC 70 (Del).

'Bengaluru Startup Pronto, Under Fire for Recording Videos Inside Customers' Homes to Train AI, Clarifies' Hindustan Times (Bengaluru, May 2026) https://www.hindustantimes.com/trending/bengaluru-startup-pronto-under-fire-for-recording-videos-inside-customers-homes-to-train-ai-clarifies-101779609647468.html accessed 1 August 2026.

Defend Trade Secrets Act 2016, 18 USC § 1836 (US). Several commentators note that this gives US courts a settled threshold — reasonable secrecy measures plus independent economic value — against which an AI developer's confidentiality claim over training data can be tested; no equivalent statutory anchor exists in India.

'From Patents to Privacy: The Strategic Turn Toward Trade Secrets in the AI Era' Berkeley Technology Law Journal (2025) https://btlj.org/2025/12/ from-patents-to-privacy-the-strategic-turn-toward-trade-secrets-in-the-ai-era/ accessed 1 August 2026.

Digital Personal Data Protection Act 2023, s 6(1). DOI: https://doi.org/10.69554/LXHZ9342

Justice K.S. Puttaswamy (Retd) v Union of India (2017) 10 SCC 1.

'Barriers to Evidence in AI-Related Cases and the Privatization of Proof' (arXiv, 2026) https://arxiv.org/abs/2605.21816 accessed 1 August 2026.

Reuters, 'US Judge Approves Anthropic's $1.5 Billion Settlement of Copyright Lawsuit' Reuters (20 July 2026) https://www.reuters.com/world/us-judge-approves-anthropics-15-billion-settlement-copyright-lawsuit-2026-07-20/ accessed 1 August 2026.

Super Cassettes Industries Ltd v Hamar Television Network Pvt Ltd (2011) 45 PTC 70 (Del).

'Copyright and AI training data — transparency to the rescue?' (n 2) 183, discussing the European Commission's template guidance on Article 53(1) (d) summaries.

Herbert Smith Freehills Kramer, 'Trade Secrets in the AI Era: Navigating Transparency Under the EU AI Act' (HSF Kramer, 2025) https://www.hsfkramer.com/insights/2025-10/trade-secrets-in-the-ai-ere-navigating-transparency-under-the-eu-ai-act accessed 1 August 2026.

Reuters Legal, 'Trade Secrets and the Training Data Transparency Act' Reuters Legal (18 May 2026) https://www.reuters.com/legal/legalindustry/ trade-secrets-training-data-transparency-act-pracin-2026-05-18/ accessed 1 August 2026.

National Commission for Enterprises in the Unorganised Sector, Report on Conditions of Work and Promotion of Livelihoods in the Unorganised Sector (NCEUS 2007), referenced in the statutory definition of the unorganised sector used across Indian labour policy.

NALSA (Legal Services to the Workers in the Unorganised Sector) Scheme 2015, issued under the Legal Services Authorities Act 1987; see also Legal Services Authorities Act 1987, ss 12(f) and 12(h), extending free legal aid to industrial workmen and to persons below the prescribed income threshold respectively.

Case C-203/22 CK v Magistrat der Stadt Wien EU:C:2025:117.

Digital Personal Data Protection Act 2023, s 6(4), guaranteeing a right to withdraw consent 'with the ease of doing so being comparable to the ease with which such consent was given'. Licensed under CC BY-NC-SA 4.0 8

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Published

19-09-2026

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Creative Commons License

This work is licensed under a Creative Commons Attribution-NonCommercial-ShareAlike 4.0 International License.

Copyright © 2026 by Heli K. Bhavsar, Syona Arya

The copyright and license terms mentioned on this page take precedence over any other license terms mentioned on the article full text PDF or any other material associated with the article.

How to Cite

Bhavsar, Heli K., and Syona Arya. “Consent Without Disclosure: Trade Secrets, Copyright and the Black Box of AI Training Data in India”. South Asian Law Review Journal, vol. 12, Sept. 2026, pp. 1-9, https://doi.org/10.55662/SALRJ.2026.1201.

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