U.S. will unveil data-sharing platform for autonomous vehicle testing

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(Reuters) — On Monday, U.S. auto safety regulators will unveil a voluntary effort to collect and make available nationwide data on existing autonomous vehicle testing.

 U.S. states have a variety of regulations governing self-driving testing and data disclosure, and there is currently no centralized listing of all automated vehicle testing.

California, for example, requires public disclosure of all crashes involving self-driving vehicles, while other states do not.

The National Highway Traffic Safety Administration (NHTSA) is unveiling the Automated Vehicle Transparency and Engagement for Safe Testing (AV TEST) initiative to provide “an online, public-facing platform for sharing automated driving system on-road testing activities.”

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EU introduces AI strategy to build ‘ecosystem of trust’

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Ursula von der Leyen, president of the European Commission

The European Commission today unveiled a sweeping set of proposals that it hopes will establish the region as a leader in artificial intelligence by focusing on trust and transparency.

The proposals would lead to changes in the way data is collected and shared in an effort to level the playing field between European companies and competitors from the U.S. and China. The EC wants to prevent potential abuses while also building confidence among citizens in order to reap the benefits promised by the technology.

In a series of announcements, EC leaders expressed optimism that AI could help tackle challenges such as climate change, mobility, and health care, along with a determination to keep private tech companies from influencing regulation and dominating the data needed to develop these algorithms.

“We want citizens to trust the new technology,” said Ursula von der Leyen, president of the European Commission. “Technology is always neutral. It depends on what we make with it. And therefore we want the application of these new technologies to deserve the trust of our citizens. This is why we are promoting a responsible human-centric approach to artificial intelligence.”

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