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Private and public sector actors should cooperate internationally to come up with a framework for ethical implementation of artificial intelligence (AI). “If we ignore those options for constructive dialogue and cooperation because there are other things where it is harder to make progress, then we are doing ourselves a disservice, collectively,” said Chris Byrd, research fellow at the Future of Humanity Institute at Oxford University at last week’s Emerge by TechNode conference in Shanghai.

Despite the different problems China may face in comparison to the rest of the world, there is a lot of overlap. Byrd pointed to the example of algorithm bias: China has a more ethnically homogeneous population so bias is stronger in the initial data sets. This doesn’t mean that nothing can be done, merely that more legwork is required to find data points signaling ethnic minorities, much like US companies must do.

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Eliza Gkritsi

Eliza is TechNode's blockchain and fintech reporter. When she isn't obsessing over the rise of distributed ledger technology in China, she helps with editing.

Shi Jiayi

Shi Jiayi is the Shanghai-based visual reporter helping provide multimedia elements about China’s fast-changing technology and culture. She holds a B.A. in Convergence Journalism from the University...