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


A general view of the Houses of Parliament at sunrise, in London, Britain, February 9, 2022. REUTERS/Tom Nicholson

LONDON, March 6 (Reuters) - Britain should ⁠reject any move to let artificial intelligence companies freely mine ⁠copyrighted material for commercial model training and instead adopt a licensing-first ‌regime, a committee in the upper house of parliament said 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 say ⁠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 Kendall ⁠said in January the government was seeking a "reset" on ​its AI copyright ‌plans, calling its earlier proposal a mistake and saying the review ⁠would put "reward and ​control" for artists at its centre.

The government is due to publish its review in March.

The House 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 dependence 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 said, or sliding into "tacit acceptance of large-scale, unlicensed use" of copyrighted works by mostly U.S.-based developers, a path it said could undermine ​creative livelihoods.

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

It said 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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