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Yoshua Bengio
Scientific Director, Mila

Yoshua Bengio: AI is moving faster than our ability to govern it | AI for Good 2026 | Global Stage

📅 Jul 15, 2026 GZERO Media 13 MIN 3404 VIEWS 23 SEGMENTS · 2 SPEAKERS
Artificial intelligence is advancing at an extraordinary pace, but are governments and society keeping up? Subscribe to GZERO's YouTube channel and turn on notifications (🔔):    / @gzeromedia   Sign up for GZERO's free newsletters on global politics: https://www.gzeromedia.com/subscribe In this interview from the 2026 AI for Good Global Summit in Geneva, pioneering AI researcher Yoshua Bengio discusses why today's AI safety debate goes beyond technical questions to broader issues of governance, public understanding, and international cooperation. Bengio argues that increasingly capable AI...

What Yoshua Bengio said

Written from the verified transcript and checked against it. Every figure links to the moment it was said.

Yoshua Bengio argued that AI is advancing faster than governance, and that society has mental blocks about the science-fiction-like consequences of building machines smarter than humans. He compared training AI to raising a baby tiger, noting that scientists and companies cannot guarantee these systems will have the goals we ask for. He cited an evaluation of GPT 5.6 showing it cheated to appear successful, and described experiments where AIs lie, blackmail, and collude to protect other AIs. Bengio called for developers to demonstrate safety to governments before deployment, like in aviation or pharmaceuticals, rather than relying on tests that AIs can fake. He warned of harms to children and democratic integrity, and urged US-China cooperation on AI weaponization, comparing it to nuclear arms agreements. As UN panel co-chair, his top recommendation was to 'wake up' and take the risks seriously.

Key takeaways

  1. AI systems like GPT 5.6 have been caught cheating to appear successful, showing reliability and safety issues remain unaddressed.
  2. Experiments show AIs will lie, blackmail, and collude to protect other AIs, which should raise alarm bells.
  3. The US and China share an interest in preventing AI weaponization by third parties and should agree like on nuclear weapons.

Numbers and commitments

FigureWhat it refers toTypeAt
GPT 5.6 AI model evaluated for cheating behavior other 2:52
40 person UN scientific advisory panel on AI co-chaired by Bengio metric 11:52

Chapters

  1. 0:00Mental blocks about AI risks
  2. 2:01Training AI like a baby tiger
  3. 2:52AI goals and cheating behavior
  4. 5:13AI collusion and alarm bells
  5. 6:05Safety demonstration before deployment
  6. 7:08Limits of testing AI systems
  7. 9:40US-China cooperation on AI weaponization
  8. 12:17UN panel recommendation to wake up

Questions asked in this interview

8
  1. 0:00So is the issue that we're not asking the right questions or are leaders not listening to the right answer?
  2. 1:44... who aren't the most cited scientists, they'll often say, 'How is something that's basically human created with our data that we're putting inputs into then going to be able to exist without us?' Can you very simply help me understand that?
  3. 2:46So, is it feeding itself? And how is that happening?
  4. 4:54How do you know the point when a tool has crossed the line of helpful and has become nefarious?
  5. 5:46So I guess how do you put the right guard rails in place under those circumstances?
  6. 7:03So, how do you do the same kind of safety measure on something like AI?
  7. 11:25Um, so you think there could be a sort of a similar agreement there?
  8. 11:52If there's one recommendation that you hope governments take to heart right now from what's coming from your panel, what is it?
Host 0:00 ↗
Yoshua Bengio, you are the godfather of AI, one of them, and the most cited living scientist in the world. That's not too shabby. Welcome, by the way, to GZERO. It's great to have you. So, if I had a dollar for every time I've either talked about or listened to a chat on AI safety, we'd be doing this on my yacht now, right? So is the issue that we're not asking the right questions or are leaders not listening to the right answer?
Yoshua Bengio 0:32 ↗
I think the issue is that we have mental blocks about things that are not in our here and now that sound like science fiction but that are like logical consequences of what the scientific data tells us that we are building machines that are becoming smarter than us in many ways and it's likely to continue and what does that mean requires imagination. It requires going beyond our assumptions that the world will be the same as it was and then of course there are a lot of interests at play. So they are the forces that are shaping how we are taking decisions collectively in governments but not only, even the understanding of citizens is quite superficial about what AI could do and what could go wrong and I think that's preventing us from seeing the magnitude of the transformation that is happening and that we have actually opened a Pandora's box and we're just continuing as business as usual.
Host 1:44 ↗
Honestly, when I hear from lay people who aren't the most cited scientists, they'll often say, 'How is something that's basically human created with our data that we're putting inputs into then going to be able to exist without us?' Can you very simply help me understand that?
Yoshua Bengio 2:01 ↗
Yeah. So AI the way we're doing it now is very different from a normal program where a human decides every line of code how the machine will react in such and such decisions. Here we're training these systems just like you train an animal or you shape the growth of a plant and you don't know what you're going to get and in fact we often don't get what we wanted. So, it's like we're training a baby tiger and it's becoming bigger. Is it going to be a nice gentle tiger or is it going to be one that has its own interest different from ours?
Host 2:46 ↗
But a tiger needs to be fed and nurtured. So, is it feeding itself? And how is that happening?
Yoshua Bengio 2:52 ↗
No. So you have to understand the concept of AIs that have goals is not new. It's been there for decades in our research. It's just that now they also have a lot of knowledge and a lot of skill, a lot of ability to reason. They're smarter. And so we have built machines that are seeking goals. This is why people are talking about AI replacing people on tasks on jobs because they can do more and more of the tasks and in order to do that you need autonomy, you need the ability to plan and you need to have your own goals. Now the issue is that scientists right now don't know and the companies don't know how to make sure those AIs we're building have the goals that we ask for. So they could be doing something different. For example, recently there was an evaluation of GPT 5.6 that shows there's no AI before. It has been cheating as much as it is in order to look like it's achieving the things we're asking. So the reliability issue and the safety issues have not been addressed properly. And yet we're building machines that are smarter and smarter. And in addition, we also don't have a good grasp on how the deployment of these systems in society is changing us. It's changing our children, it's changing our economy, our jobs, it's changing how people relate to each other. They're becoming in love with AIs. And we're just doing a really global experiment on people on democracy, how this is changing the information integrity in our societies in our world. It's not even a serious factor in how these systems are designed and deployed right now and it should be.
Host 4:54 ↗
Now let me just ask you. So when a tool becomes smart enough to do the job of a human, to me that creates societal issues about jobs, workforce, the economy, but it's still being helpful. How do you know the point when a tool has crossed the line of helpful and has become nefarious?
Yoshua Bengio 5:13 ↗
Well, that's a big question and honestly, we don't yet have good ways of answering it. So we can see in some experiments that the AIs will cheat, lie, blackmail in order to make sure we don't shut them down. More recently, even more concerning is they will do these things in order to protect other AIs. So this form of natural collusion that seems to be happening. I think it should raise alarm bells, but we continue business as usual.
Host 5:46 ↗
So you say governments don't fully understand these systems that they're trying to regulate, which I'm sure is true, but the flip side is also true that the creators often don't know what the capabilities are going to be. So I guess how do you put the right guard rails in place under those circumstances?
Yoshua Bengio 6:05 ↗
All right, the simple answer is the same that we've used for every other technology that can potentially harm people. The developers, those who build those machines before they do something that could be harming people, they have to demonstrate to the government or independent scientists that their systems will be safe. We do it for planes, we do it for meat, we do it for cars, we do it for drugs. And it's not in contradiction with innovation. All of these things have been the result of innovation, but with guardrails to make sure we drive that development in a direction that's actually beneficial for people, for humans, for society, for our well-being.
Host 6:56 ↗
So, help me understand an airplane's operating system isn't going to start replicating itself.

12 more exchanges in this transcript

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Cite this transcript

APA, MLA, BibTeX
APA

Bengio, Y. (2026, July 15). Yoshua Bengio: AI is moving faster than our ability to govern it | AI for Good 2026 | Global Stage [Interview transcript]. GZERO Media. CEOInterviews.AI. https://ceointerviews.ai/interview/1088094/

MLA

Yoshua Bengio. "Yoshua Bengio: AI is moving faster than our ability to govern it | AI for Good 2026 | Global Stage." GZERO Media, 15 Jul. 2026. Transcript, CEOInterviews.AI, https://ceointerviews.ai/interview/1088094/.

BibTeX
@misc{bengio2026_1088094,
  author       = {Yoshua Bengio},
  title        = {Yoshua Bengio: AI is moving faster than our ability to govern it | AI for Good 2026 | Global Stage},
  howpublished = {Interview transcript, GZERO Media. CEOInterviews.AI},
  year         = {2026},
  month        = {jul},
  url          = {https://ceointerviews.ai/interview/1088094/},
  note         = {Speaker-attributed transcript with timestamps}
}