India, China troops engage in heated exchange in eastern Ladakh
New Delhi, Sep 12: The troops of India and China were engaged in a heated exchange in eastern Ladakh near the Pangong Tso Lake on Wednesday, official sources said.
The exchange triggered after Chinese Army personnel objected to patrol by Indian soldiers in the area, they said.
Army sources said the incident occurred due to deferring perceptions about the Line of Actual Control (LAC) between India and China.
The issue has been resolved during a delegation-level talks between the two sides on Wednesday, the Army sources said.
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Panel recommends mandatory licensing framework for AI training on copyrighted content
New Delhi: A committee set up by the Department for Promotion of Industry and Internal Trade (DPIIT) has proposed a mandatory blanket licensing system requiring AI developers to compensate copyright holders for using their work to train large language models. The panel, formed to assess how emerging AI technologies intersect with copyright law, released its working paper for public consultation on the DPIIT website. Feedback has been invited within 30 days from December 8 at the designated email address.
The committee, chaired by DPIIT Additional Secretary Himani Pande and comprising legal and technical experts, examined whether India’s existing copyright framework is adequate or requires amendments in light of rapid advances in AI, as reported by Bar&Bench. During consultations, most stakeholders from the AI industry argued for a blanket Text and Data Mining exception that would permit unrestricted training on copyrighted material. In contrast, content creators and rights holders advocated for a voluntary licensing regime.
In its paper, the committee said a broad TDM exception would weaken copyright protection and leave creators without any recourse for compensation. It noted that such a system would be unsuitable for a country with a large cultural economy and a rapidly expanding content sector. The option of allowing creators to opt out was also rejected. The panel observed that small creators would be at a disadvantage due to limited awareness and an inability to monitor whether their work had been used despite opting out.
As the committee concluded that withholding works entirely from AI training would restrict access to diverse and high-quality datasets, it recommended a hybrid model under which all lawfully accessed copyrighted content can be used for AI training to strike a balance, but with a statutory remuneration right for copyright holders.
The panel proposed that the Central government designate a central non-profit body to collect royalties from AI developers and distribute them to rights holders. Only one representative body per class of work would be allowed, either a registered copyright society or a collective management organisation. The entity, tentatively named the Copyright Royalties Collective for AI Training (CRCAT), would maintain a database where creators can register their works. A government-appointed commission would determine royalty rates. A portion of the revenue generated by AI systems trained on protected content would also be distributed proportionally.
Avoiding exposing technical or sensitive information, AI developers would be expected to identify the categories, nature, and general sources of the content used in training datasets. The panel further noted that this would ensure transparency while keeping proprietary details protected.
Industry body Nasscom registered its dissent, stating that rights holders should receive explicit statutory protection against data mining. The panel members were Simrat Kaur, Anurag Kumar, advocates Ameet Datta and Adarsh Ramanujan, Raman Mittal, Chockalingam M, and Sudipto Banerjee.
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