On Monday, Shanghai's trade unions submitted a proposal to China's top policy advisory body, suggesting that platform workers should be given a voice in how dispatching algorithms are deployed by internet companies. Thoughts and quotes below. 1/11
acftu.people.com.cn/n1/2022/0118/c…
The proposal specifically addresses algorithms that determine delivery schedules for gig workers — like restaurant delivery, freight drivers, couriers, and ride-hailing drivers. 2/11
Yesterday, Worker's Daily ran a follow-up on algorithms and labor rights, arguing that "a management mechanism that is only beneficial to one party and detrimental to the other cannot survive, and the same is true of algorithmic management." 3/11
media.workercn.cn/sites/paper/pa…
The problem China's labor authorities are trying to address is that there is no feedback mechanism through which workers and platforms can communicate, especially when dispatching algorithms are making decisions detrimental to human beings. 4/11
Worker's Daily: "The reality is that when most platform companies implement algorithms, they not only fail to negotiate with workers on an equal basis..., but also, when the algorithm leaves workers some breathing room, platform companies squeeze it out." 5/11
“For example, it was recently reported that a courier delivered an order by taking a route not recommended by the algorithm. As a result, he bought himself 4 minutes of extra time. In response, the platform immediately ‘optimized’ the delivery route [for future couriers].“ 6/11
"This is a typical example of a precise algorithmic calculation that keeps couriers in a constant state of high-intensity labor." 7/11
"Since [the algorithmic fairness] issue is related to the rights and obligations of both parties, it should be formulated through consultation by both parties, and it cannot be decided by one side." 8/11
The proposal suggests that unions and industry associations step into this breach, and establish platforms where negotiations on algorithmic fairness can take place between internet companies and those they employ. 9/11
Another issue is that Chinese new rules forbid the use of algorithms to violate labor laws, but regulators have no way to tell if algorithms are imposing unreasonable working conditions by simply doing a review of the app - they need feedback from the workers. 10/11
Interestingly, trade unions are shaping up to be China's chosen feedback mechanism on algorithm ethics between regulators, companies, and new economy labor. 11/11

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More from @kendraschaefer

Jan 11
Yesterday, CPPCC bigwig and econ policy advisor Liu Shijin published an essay outlining the next evolution of China's digital economy — it's a pretty enlightening read. Good bits below. 1/12 finance.sina.com.cn/tech/2022-01-1…
Backstory: Lately, Chinese policymakers have been vocally critical of the ways in which the digital economy cannibalizes the real economy. Examples: e-commerce decimates offline retail, or tech startups hog all the capital while traditional SMEs struggle to get funding. 2/12
The loud criticisms, coupled with China's anti-monopoly drive, has led some to assume that the digital economy has fallen out of favor with policymakers and the real economy is the new policy darling. Liu says everyone is missing the point. 3/12
Read 12 tweets
Jan 5
Well, here they are. Yesterday, China's cyberspace watchdog, the CAC, finalized China's groundbreaking new rules on recommendation algorithms. They take effect in early March. Thoughts on the final version below. 1/11 cac.gov.cn/2022-01/04/c_1…
If you're new to this conversation, here's what I posted on the draft version a few months ago. 2/11 👇
The final version of China's new algorithm rules mostly preserve the rules outlined in the draft, but three new stipulations were added (big thanks to @freefader for doing the heavy lifting on draft and final version comparison). 3/11
Read 11 tweets
Oct 15, 2021
On LinkedIn's exit from China: Last month, Xiao Yaqing, China's Minister of Industry and Information Technology, had a video call with Brad Smith, president of MS US, to discuss "in-depth views on ... Microsoft's development and cooperation in China." 1/13 miit.gov.cn/xwdt/gxdt/ldhd…
Naturally, we don't know what was said during that meeting. Did Xiao insinuate they should get out of social? Totally unrelated? Who knows. What we do know is that LinkedIn is facing increasing regulatory pressure on multiple fronts. 2/13
One, the obvious: Social networks operating in China are increasingly caught in the impossible impasse between Chinese censorship rules and western values. Frankly, it's a miracle LinkedIn survived in China as long as it has. 3/13 axios.com/linkedin-block…
Read 14 tweets
Aug 27, 2021
My goodness. China's cyberspace watchdog, the CAC, just published a long (and unprecedented) set of draft regulations for recommendation algorithms. The short version: they will be tightly controlled. Key points below. 1/ cac.gov.cn/2021-08/27/c_1…
Most interesting to me: Users must be provided with a convenient way to see and delete the keywords that the algorithm is using to profile them. 2/
And there are limits on the types of keywords algos can collect: "Providers ... shall not record illegal and undesirable keywords in the user points of interest or as user tags and push information content accordingly, and may not set discriminatory or biased user labels." 3/
Read 18 tweets
Aug 20, 2021
Here it is! The final text of China's Personal Information Protection Law (PIPL). A quick off-the-cuff translation below of what was changed or added to the final draft. 1/ npc.gov.cn/npc/c30834/202…
1. If personal information is used in automated decision-making [example: marketing / ad algorithms, personalized product recs] , the decision-making must be transparent, and can't be used to impose different transaction terms on different individuals. 2/
What that means in practice: Platforms can't, for example, collect data about users, and then show those users different prices based on the algorithms assumptions about the user's ability to pay. 3/
Read 15 tweets
Aug 13, 2021
What does "decoupling" even mean? Is there consensus around a set of metrics that would define it? Maybe I'm not talking to the right people, but no one in my industry has been able to tell me with any conviction what decoupling is, much less whether or not "it" is even possible.
Does 'decoupling' mean less trade? How much less? In what sectors exactly? Does it mean less investment? What do you mean "investment"? Does it mean keeping each other's technology out of each other's networks? What technology? What networks?
This word has bled into the global policy conversation and become a talking point with poor strategic and logical foundation. Data analysts struggle to map the ramifications, because the word itself is unclear.
Read 5 tweets

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