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AISHK Reading Group Social #2: Misaligned AI

Tue, 16 Jun

|

Hong Kong Island

​​AI systems are getting more capable. Are they also getting less aligned? Join us for the second AISHK Reading Group, where we’ll dig into one of the most important questions in AI safety: what happens when a system gets better at achieving goals, but not necessarily the ones humans actually want?

AISHK Reading Group Social #2: Misaligned AI
AISHK Reading Group Social #2: Misaligned AI

Time & Location

16 Jun 2026, 7:00 pm – 10:30 pm

Hong Kong Island, Location will be sent to registered attendees

About the event

AI systems are getting more capable. Are they also getting less aligned?


​Join us for the second AI Safety Hong Kong Reading Group, where we’ll dig into one of the most important questions in AI safety: what happens when a system gets better at achieving goals, but not necessarily the ones humans actually want?


​For a long time, misalignment sounded like a future problem. That’s no longer a comfortable assumption. Emerging evidence suggests that some frontier models may already be showing worrying behaviours — the kind that force us to ask whether this is just oddness, or an early warning sign.


​We’ll discuss a short, accessible article that lays out the case and invites a harder conversation: how much evidence is enough before we start treating misalignment as a real safety issue?


​No technical background required. Whether you work in policy, governance, research, law, business, or you’re simply trying to make sense of where AI is headed, you’re welcome.

Reading: Misaligned AI Is No Longer Just a Theory


15–20 min read

​url: https://www.transformernews.ai/p/ai-misalignment-evidence


Discussion questions:

  • ​What do we actually mean by “misalignment”?

  • ​Which examples in the article felt compelling, and which didn’t?

  • ​When does unexpected behaviour become a safety concern?

  • ​If these behaviours become more common, what should organisations do?


​Come ready to question assumptions, scrutinize evidence, and wrestle with a problem that may already be here.


RSVP link: https://luma.com/qzd5rns0



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© 2026 by AI Safety Hong Kong. 

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