Discussions:Design and Science
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Tim Brown 1/18/2016
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Private. Collaborators only.
The growth of AI and data networks might liberate designers and scientists to be more ‘anti-disciplinary’ because the machines can take care of the many forms of expertise we need to tackle problems at the complex systems level. I’m guessing this is obvious to you but my sense that both in science and design the current trend is toward ever greater specialization of the individual in order to compete with the efficiency of the machine. Thank goodness the Media Lab stands for the opposite.
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Joichi Ito 1/18/2016
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Private. Collaborators only.
I think the role of AI in research is very interesting. Hiroaki Kitano and others are trying to design AI systems to manage and possibly even come up with questions for research. English language publishing is a “lossy” way of conveying the complexity and detail of many experiments including the data, the code that was run, the exact orientation of the molecules, etc. The sheer volume of research results is also trans-human-reable. An interesting part of the design of AI systems is the interface between the human systems and the machine systems. I think “Human in the Loop” machine learning is an extremely important area of work that we’d like to focus on at the Media Lab and I do think the role of AI in tackling problems at the complex systems level is key.