Islamabad, Sep 16: Pakistan plans to send its first astronaut to space by 2022 with the help of its close ally China, Minister for Science and Technology has said.
The selection process for the astronaut would start in 2020, Federal Minister for Science and Technology, Chaudhry Fawad Hussain said on Sunday.
China would collaborate with Pakistan in its space mission, Fawad was quoted as saying by the News International reported.
He said that initially, 50 individuals would be selected after which the list will be shortened to 25 in 2022. And out of them only one would be sent to space.
The Pakistan Air Force would play an important role in the selection process of the astronaut, the report said.
He said the collaboration of Pakistan and India in the fields of science and technology could prove fruitful for the region.
Fawad said Pakistan was the second in Asia after the then Union of Soviet Socialist Republics (USSR), which had sent its rocket into the space in 1963.
The Pakistan Space Science Education Center was playing an important role for the promotion of space sciences in the country, he added.
Last year, Pakistan launched two indigenously-built satellites into the orbit, using a Chinese launch vehicle.
The satellites were launched onboard the Chinese Long March (LM-2C) rocket from the Jiuquan Satellite Launch Centre located at the Gobi desert, China, The Express Tribune had reported.
One of them was a remote sensing satellite (PRSS1) a dual-purpose Earth observational and optical satellite.
The second test satellite launched was a PAK-TES-1A to enhance satellite manufacture capabilities in the country.
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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.
