Read the following passage and questions, then choose the right answer from options, the answer should be one of A, B, C, D.

<passage>:
AI: what's the worst that could happen? The Centre for the Future of Intelligence is seeking to investigate the implications of artificial intelligence for humanity, and make sure humans take advantage of the opportunities while dodging the risks. It launched at the University of Cambridge last October, and is a collaboration between four universities and colleges – Cambridge, Oxford, Imperial and Berkeley – backed with a 10-year, £10m grant from the Leverhulme Trust. Stephen Cave: Thinking about the impact of AI is not something that any one discipline owns or does in any very systematic way. So if academia is going to rise to the challenge and provide thought leadership on this hugely important issue, then we’re going to need to do it by breaking down current disciplinary boundaries and bringing people with very different expertise together. That means bringing together the technologists and the experts at developing these algorithms together with social scientists, philosophers, legal scholars and so forth. I think there are many areas of science where more interdisciplinary engagement would be valuable. Biotech’s another example. In that sense AI isn’t unique, but I think because thinking about AI is still in very early stages, we have an opportunity to shape the way in which we think about it, and build that community. At a recent talk, Naomi Klein said that addressing the challenge of climate change could not have come at a worse time. The current dominant political and economic ideologies, along with growing isolationist sentiment, runs contrary to the bipartisan, collaborative approaches needed to solve global issues like climate change. Do you see the same issues hampering a global effort to respond to the challenges AI raises? Climate change suffers from the problem that the costs are not incurred in any direct way by the industrialists who own the technology and are profiting from it. With AI, that has been the case so far although not on the same scale. There has been disruption but so far, compared to industrialisation, the impact has been fairly small. That will probably change. AI companies, and in particular the big tech companies, are very concerned that this won't go like climate change, but rather it will go like GMOs: that people will have a gut reaction to this technology as soon as the first great swathe of job losses take hold. People speculate that 50m jobs could be lost in the US if trucking is automated, which is conceivable within 10 years. You could imagine a populist US government therefore simply banning driverless cars. So I think there is anxiety in the tech industry that there could be a serious reaction against this technology at any point. And so my impression is that there is a feeling within these companies that these ethical and social implications need to be taken very seriously, now. And that a broad buy-in by society into some kind of vision of the future in which this technology plays a role is required, if a dangerous – or to them dangerous – counteraction is to be avoided. My personal experience working with these tech companies is that they are concerned for their businesses and genuinely want to do the right thing. Of course there are intellectual challenges and there is money to be made, but equally they are people who don't think when they get up in the morning that they're going to put people out of jobs or bring about the downfall of humanity. As the industry matures it's developing a sense of responsibility. But luckily, we have got to that point in recent years of accepting that we are not the only form of intelligence. But now, AI is challenging that from a different direction. Just as we are accepting that the natural world offers this enormous range of different intelligences, we are at the same time inventing new intelligences that are radically different to humans. And I think, still, this anthropomorphic picture of the kind of humanoid android, the robot, dominates our idea of what AI is too much. And too many people, and the industry as well, talk about human-level artificial intelligence as a goal, or general AI, which basically means like a human. But actually what we're building is nothing like a human. When the first pocket calculator was made, it didn't do maths like a human. It was vastly better. It didn't make the occasional mistake. When we set about creating these artificial agents to solve these problems, because they have a completely different evolutionary history to humans, they solve problems in very different ways. And until now, people have been fairly shy about describing them as intelligent. Or rather, in the history of AIs, we think solving a particular problem would require intelligence. Then we solve it. And then that's no longer intelligence, because we've solved it. Chess is a good example. But the reality is, we are creating a whole new world of different artificial agents. And we need to understand that world. We need to understand all the different ways of being clever, if you like. How you can be extremely sophisticated at some particular rational process, and yet extremely bad at another one in a way that bears no relation to the way humans are on these axes. And this is important, partly because we need to expand our sense of what is intelligent, like we have done with the natural world. Because lots of things follow from saying something is intelligent. Historically, we have a long tradition in Western philosophy of saying those who are intelligent should rule. So if intelligence equates to power, then obviously we need to think about what we mean by intelligence. Who has it and who doesn't. Or how it equates to rights and responsibilities. But at the same time, we're competitive and murderous. We have a strong sense of in-group versus out-group, which is responsible for both a great deal of cooperation, within the in-group, but also terrible crimes. Murder, rape, pillage, genocide and they're pointed at the out-group. And so I think it's very natural for us to see AIs in terms of agents. We anthropomorphise them as these kind of android robots. And then we think about, well, you know, are they part of our in-group, or are they some other group? If they're some other group, it's us against them. Who's going to win? Well, let's see. So I think that's very natural, I think that's very human. There is this long tradition, in Western culture in particular, with associating intelligence and dominance and power. It's interesting to speculate about how, and I wish I knew more about it, and I'd like to see more research on this, about how different cultures perceive AI. It's well known that Japan is very accepting of technology and robots, for example. You can think, well, we in the West have long been justifying power relations of a certain kind on the basis that we're 'cleverer'. That's why men get to vote and women don't, or whatever. In a culture where power is not based on intelligence but, say, on a caste system, which is purely hereditary, we’d build an AI, and it would just tune in, drop out, attain enlightenment, just sit in the corner. Or we beg it to come back and help us find enlightenment. It might be that we find a completely different narrative to the one that's dominant in the West. One of the projects the centre is running is looking into what kind of AI breakthroughs may come, when and what the social consequences could be. What do you think the future holds? What are your fears – what do you think could go right and wrong in the short, medium and long term? That's a big question. Certainly I don't lie awake at night worried that robots are going to knock the door down and come in with a machine gun. If the robots take over the world, it won't be by knocking the door down. At the moment, I think it's certainly as big a risk that we have a GMO moment, and there's a powerful reaction against the technology which prevents us from reaping the benefits, which are enormous. I think that's as big a risk as the risks from the technologies themselves.

<question>:
When does Stephen Cave think the general public will react to the role of AI?

<options>:
A Once they realize they can lose money if they are not in the AI industry
B Once they realize that AI can be dangerous
C Once they think jobs are being lost to AIs
D Once the AI companies have a larger share of the general market

<answer>:

C