
Round Table China Generation Global: Navigating a Changing World, Ep. 1
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Mar 5, 2026 Ace Asim, a researcher and student at Peking University focused on AI, ethics, and policy, shares cross-continental views on technology and culture. He discusses how local contexts shape AI, the ethical risks of recommendation algorithms, AI’s role in education and creative fields, and the need for AI literacy and evolving policy. The conversation spotlights transparency, accountability, and realistic expectations about job disruption.
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From New Jersey To Beijing Winters
- Ace describes moving to Beijing from the Shanghai/Suzhou area after arriving in China in January 2024.
- He jokes about Beijing's cold, dry winters and needing moisturizer and chapstick to survive.
Algorithms Confuse Habits With Preferences
- Recommendation algorithms predict engagement from behavior but often conflate habit with preference, pushing repeat actions rather than user goals.
- Ace uses ordering pizza every Monday as an example of algorithms mistaking convenience for true preference.
Feeds Reduce Serendipity And Hurt Niche Creators
- Personalized feeds make it harder to stumble into unfamiliar or challenging content, creating echo chambers that limit discovery.
- Ace notes this reduces exposure for niche artists or producers who rely on organic discovery.
