Li-Lian Ang
speaker
308 appearances
1 recordings
1 series
first heard Apr 2026
last heard 2 Apr
Li-Lian Ang’s voice in public audio — every appearance, attributed to the second.
Trend
recordings per month · last 12 monthsRecordings per month over the last 12 months — 1 in all, peaking in Apr 2026 with 1.
Appearances
And over time, one of the things that we realized that was really important was that because AI is such a general purpose technology and has such a transformative impact on many aspects of society, we are going to need just like way more people thinking about what we can do to ensure that the way that we build and roll out this technology actually goes well.
And so this is kind of like turned into more of like our current mission statement, which is to try to build the workforce that protects humanity from these risks from AI.
Yeah.
In the beginning, a lot of the risks felt kind of speculative in the sense that people were predicting that these AI systems would be able to do the kind of things that you see it able to do now.
Just like code like whole web apps on scratch, be able to like very realistically synthesize people's voices, like generate images and videos.
And now it's being like used a lot in like
things like warfare or cyber attacks and there's more like all the crazy, dangerous and scary stuff that people only thought were maybe possible in 10 years, 15 years time.
So a lot of the work in the beginning was very focused around like, how do we get more clarity around what the risk actually is and measure it and then convince people that this is something worth paying attention to.
And because of how rapidly AI systems have developed, a lot of now the focus has shifted to
okay now we don't need to convince people anymore that this is happening because like it's clearly happening it's more of like okay now mobilize people like let's let's really do something about this now yeah yeah and what about specific risks uh which risks are most salient to you now yeah
I think there are four types of risks or ways, things that could go wrong that I and probably the rest of the team feel most concerned about.
One is with bioengineering.
Sorry.
One is with engineered pandemics.
So now with the ability of AI systems to help with synthesizing or discovering ways of synthesizing different kinds of molecules or pathogens, being able to help a lot with moving through how to do wet lab experiments, giving people a lot more biological knowledge than they would have otherwise needed to have.
which lowers then the barriers for entry for people who might have previously wanted to develop these kinds of bioweapons and now are able to do it much more easily.
So this is becoming an increasing threat where the barrier was low.
And this is similar with the second thing which we're worried about, which is large-scale cybersecurity attacks on things like critical infrastructure, where previously you'd need...
like a really well-resourced team of experts, but now Claude can just code up anything.
I mean, we've already seen this being used with China in the threat intelligence report from Anthropic, how they were using AI agents to launch a full-scale cyber attack
Showing 21–40 of 308 · page 2 of 16
← Previous
Next →