Chinese Assessments of AI: Risks and Approaches to Mitigation

As artificial intelligence (AI) capabilities and applications develop at an unprecedented pace, governments around the world, are grappling with the regulatory, commercial, and ethical risks and opportunities. How is Beijing looking at this issue? How did the emergence of ChatGPT and the commercialization of generative AI change how Chinese policymakers are weighing the risks and challenges of the technology? Where do Chinese perspectives on AI regulation and application converge and diverge from that of the rest of the world?
Please join the Interpret: China project to discuss these important questions with a panel of leading experts who will unpack recently translated primary source materials. Hosted by Lily McElwee, deputy director and fellow at the Freeman Chair in China Studies, the panel will feature Kendra Schaefer, head of tech policy research at Trivium China, Matt Sheehan, fellow with the Asia program at the Carnegie Endowment for International Peace, and Graham Webster, editor in chief of DigiChina and research scholar at the Freeman Spogli Institute for International Studies at Stanford University.
This event is made possible by support from the Ford Foundation and the Carnegie Corporation of New York.
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[@XAirForce]

I’ve made input into the subject and it’s on my community page so you can look there instead of me, rehashing it here.

[@Sullabe]

If considering the potentially harmful uses of AI regarding political/industrial/economic competition, is there evidence we should be pausing future developments while fixing what may already have become unbalanced? For example, the truly negative effects of social media might not be felt for decades - particularly on politics and wellbeing in democratic countries. It's understandable to focus on censorship as a megalithic issue, but does China have the same problems with online bullying, trolling and conspiracy theories? How do their institutions react to these issues and is it different, or contradictory to their treatment of things perceived as harmful to the state? What I mean is, how far passed the edge of a cliff do competing parties get before realising they all lost?

[@jbo8540]

It's an arms race, you don't stop in the middle of a race. Your final mentioned concern is very much valid.

[@adurpandya2742]

The sudden lack of criticism of censorship is hilarious

[@jbo8540]

There is a middle road between chaos and authoritarianism

[@jbo8540]

Meanwhile the US gov

[@jbo8540]

*transformers... robots in disguise...*

[@allinballsout1]

For example, what was qouted around 55:27. Below are some motivational qoutes so you don't cry. and if you do it's okay, but goddamn you get back on that horse. "Do not wait until the conditions are perfect to begin. Beginning makes the conditions perfect." "The future belongs to those who believe in the beauty of their dreams."

[@allinballsout1]

Great job. Now be mindful if where you got your data. Start translating the Chinese to English. If you haven't taken advanced mathematics than I doubt you will understand how the below translates to bytes, algos, etc... "semantic loss" or "loss of meaning" in translation. This happens when certain words, phrases, or concepts in one language don't have a direct equivalent in another language, leading to a loss of the original meaning, nuance, or cultural significance during the translation process. This phenomenon can occur for various reasons, including cultural differences, structural differences between languages, and the presence of idiomatic expressions that are unique to each language.