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. Executive director of the centre is Stephen Cave, a writer, philosopher and former diplomat. Harry Armstrong, head of futures at Nesta, which publishes The Long + Short, spoke with Cave about the impact of AI. 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? And I think the more we understand a technology's relationship with those things, and the more we then consciously try to shape those things, the more we are going to influence the technology. So, for example, developing a culture of responsible innovation. For example, a kind of Hippocratic oath for AI developers. These things are within the realms of what is feasible, and I think will help to shape the future. I think this is very important because historically, we've had an overwhelming tendency to anthropomorphise. We define what intelligence is, historically, as being human-like. And then within that, being like certain humans. And it's taken a very long time for the academic community to accept that there could be such a thing as non-human intelligence at all. We know that crows, for example, who have had a completely different evolutionary history, or octopuses, who have an even more different evolutionary history, might have a kind of intelligence that's very different to ours. That in some ways rivals our own, and so forth. 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. Yeah, absolutely. Yes, right now, perhaps it is a product of our anthropomorphising bias. But there is a tendency to see a narrative of AI versus humanity, as if it's one or the other. And yet, obviously, there are risks in this technology long before it acquires any kind of manipulative agency. Robotic technology is dangerous. Or potentially dangerous. But at the same time, most of what we're using technology for is to enhance ourselves, to increase our capacities. And a lot of what AI is going to be doing is augmenting us – we're going to be working as teams, AI-human teams. Where do you think this AI-human conflict, or concept of a conflict, comes from? Do you think that's just a reflection of historical conversations we've had about automation, or do you think it is a deeper fear? I do think it comes both from some biases that might well be innate, such as anthropomorphism, or our human tendency to ascribe agency to other objects, particularly moving ones, is well-established and probably has sound evolutionary roots. If it moves, it's probably wise to start asking yourself questions like, "What is it? What might it want? Where might it be going? Might it be hungry? Do I look like food to it?" I think it makes sense, it's natural for us to think in terms of agency. And when we do, it's natural for us to project our own ways of being and acting. And we, as primates, are profoundly co-operative. 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? I think one worry that we haven't talked about is that we've become extremely dependent  upon this technology. And that we essentially become deskilled. There's an extent to which the history of civilisation is the history of the domestication of the human species sort of by ourselves, and also by our technology, to some extent. And AI certainly allows for that to reach a whole new level. It's just one example, but the idea that we can live much more resource-efficiently, because we are living more intelligently through using these tools. And therefore can undo some of the damage of the last Industrial Revolution. That's my main utopian hope, I guess.

<question>:
Which term best describes the approach Cave supports with regard to AI development?

<options>:
A multifaceted
B reductionist
C isolationist
D divergent

<answer>:

A