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AI and Civic Trust in Hong Kong — Level B1 — Scrabble letters spelling love scam on a wooden table

AI and Civic Trust in Hong KongCEFR B1

27 Apr 2026

Adapted from Nishant Shah, Global Voices CC BY 3.0

Photo by Markus Winkler, Unsplash

Level B1 – Intermediate
3 min
168 words

Global Voices’ Spotlight series highlights how AI affects civic life. I teach and live on a public university campus in Hong Kong where each year students and the city receive many scam warnings. After one employee was tricked by a deepfake video call and transferred millions, officials warned that society is not fully prepared for AI-driven deception.

Young people are often the target, but the problem goes beyond fake news. The wider issue is trust: can people trust digital information and their own judgement when AI shapes everyday interactions? Generative AI makes plausible content cheap and widespread, producing cognitive fatigue and a sense of surrender.

Hong Kong now deploys tools such as scameter+ and other verification systems; financial authorities say AI must be used to fight AI. AI also appears in enquiry systems, translation tools, payment gateways and city management workflows. The Digital Narratives Studio practices relational infrastructuring—small, informal gatherings where people name encounters, compare experiences, share interpretations and test judgement together to make AI accountable.

Difficult words

  • deepfakea realistic fake audio or video
  • deceptionan act that makes someone believe false information
  • generativeable to produce new content automatically
  • verificationthe process of checking if something is true
  • judgementthe ability to make sensible decisions
  • cognitive fatiguemental tiredness from thinking too much
  • relational infrastructuringbuilding shared systems through small group meetings

Tip: hover, focus or tap highlighted words in the article to see quick definitions while you read or listen.

Discussion questions

  • How much do you trust digital information when AI can create realistic content? Explain why.
  • Do small, informal meetings where people share experiences help improve judgement about online information? Why or why not?
  • What tools or actions should a university use to protect students from scams and deepfakes?

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