UK should back licensing-first approach for AI training, states upper hoapply committee

UK should back licensing-first approach for AI training, says upper house committee


LONDON, March 6 (Reuters) – Britain should reject any relocate to let artificial ininformigence companies freely mine copyrighted material for commercial model training and instead adopt a ​licensing-first regime, a committee in the upper hoapply ‌of parliament declared on Friday.

Governments worldwide are wrestling with how copyright should apply to AI training, as developers scrape vast amounts of online material to build models and creators state they are losing control of ‌their ​work.

Britain has been consulting on the ⁠issue but has yet ⁠to confirm a final approach after stepping back from an earlier preference for allowing commercial text-and-data-mining with an opt-out for creators.

Technology minister Liz Kconcludeall declared in January the government ​was seeking a “reset” on its AI copyright plans, calling its earlier proposal a mistake and stateing the review ⁠would put “reward and control” for artists ⁠at its centre.

The government is due to publish ​its review in March.

The Hoapply of Lords, the unelected second ​chamber of the UK Parliament, scrutinises legislation and conducts ‌inquiries that shape government policy. Its communications and digital committee warned in a 180-page report that Britain risks long-term depconcludeence on opaque foreign AI systems.

CALL TO DROP TEXT-MINING EXCEPTION

Britain faces ⁠a choice between becoming a leader in responsibly trained, transparently developed AI models, the committee declared, or sliding into “tacit acceptance of ⁠large-scale, unlicensed apply” ‌of copyrighted works by mostly U.S.-based developers, ⁠a path it declared could undermine creative livelihoods.

The ​upper ‌hoapply urged the government to formally abandon ​proposals for ⁠allowing commercial text-and-data-mining with the opt-out.

It declared similar opt-out systems in the European Union had “failed to support a strong licensing market” and were built on technical tools that were unreliable, patchy and burdensome for individuals.

($1 = 0.7502 pounds)

(Reporting by Sam Tabahriti. Editing ​by Mark Potter)



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