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EU experts call for companies to give access to AI technology

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Update time : 2020-04-17 10:18:53

* Experts expect companies ought be able ought section and apply data

* Panel urges governments' ensure against mass surveillance

BRUSSELS, June 26 (Reuters) - The European club to order companies ought endow rivals rational access ought technique that can be used during sham intellect projects, a panel of experts, which includes Google, SAP and IBM, said can Wednesday.

The hint from the group, whose 52 members also include academics and representatives from industry bodies, could roll the foundation of EU-wide rules at the coming years.

The European committee enlisted the experts' assist last year during divide of its plan ought deploy sham intellect (AI) over the bloc and assist European companies arrest up with rivals at Asia and the United States.

"Consider the introduction of a news access regime can FRAND terms, namely fair, reasonable, and non-discriminatory. at addition, news interoperability between just players to be incentivised and required, where appropriate," the gang said at its report.

The cry comes between a argument among carmaker Daimler , car parts company Valeo and Nokia can show access ought the Finnish company's patents during self-driving vehicles.

The experts also warned against governments using AI systems ought spy can individuals. China has been criticised by activists, scholars, foreign governments and U.N. rights experts can what they cry mass detentions and rigid surveillance of the chiefly Muslim Uighur minority and other Muslim groups at Xinjiang.

"While there can be a sturdy temptation during governments ought 'secure society' by building a pervasive surveillance system based can AI systems, this used to be extremely dangerous if pushed ought extreme levels," the gang said.

It said EU governments to commit no ought hire at mass surveillance of individuals.

The experts also suggested developing AI tools ought assist polite federation bodies and non-government organisations discover biases and undue prejudice at government decision-making. 

 
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