Innovating with innovation AI

Artificial intelligence
27 September 2022

In addition to all kinds of new applications, AI will also generate new knowledge. AI is, for example, already combining chemical properties with biological knowledge to produce new antibiotics. And AI is already discovering laws of nature based on the movement patterns of objects and celestial bodies. AI is even generating scientific publications that are able to pass peer-review processes.

Does this make researchers obsolete? We don’t think so, but AI is changing the role of the researcher. Knowledge generated by AI will not become ‘explanatory’ within the next few decades. AI makes connections but does not know cause and effect; it can find a new law of nature or antibiotic but does not come up with the idea itself of doing the research; and it cannot explain why something works. Unlike AI, human researchers have the unique capacity to generate ideas; creativity, at present, remains restricted to humans.

How AI will change research itself is explained in Chapter 3 of our vision paper ‘Towards Digital Life, A vision of AI in 2032.’ (pdf) For example, what role will AI be permitted to play in knowledge sharing? And what will happen when we make machines work with insurmountably large data sets?

'AI has to be obedient, it has to do what it is programmed to do. Whereas a human is fundamentally disobedient.'

David Deutsch

Oxford professor

David Deutsch, Oxford professor, in conversation with TNO's chief scientific officer Peter Werkhoven, about the significance of quantum computing for the development and application of AI

Download vision paper

Download vision paper ‘Towards Digital Life: A vision of AI in 2032’

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First overview of cyberattack techniques by AI against AI

31 May 2023

All international trend reports view Artificial Intelligence as the most important disruptive technology of the coming years. Where a new technology develops, new vulnerabilities also arise. And AI is no exception.