Innovating with innovation AI

Thema:
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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System integration for robots in greenhouses

Informatietype:
Article

Good collaboration between humans and AI robots in greenhouses is essential. We are working on a semantic explanation and navigation system for improved communication.

AutoAdapt: Self-adaptive machine learning to propel us into the future

Informatietype:
Article

Self-adaptation in computing is a concept that might prove to be the missing link in making AI more transparent and accelerating innovation.

Developing moral models for AI systems

Informatietype:
Article

It is vital that values such as safety, trust and well-being are integrated in the decision-making process. How far are AI systems that we can trust them?

First overview of cyberattack techniques by AI against AI

Informatietype:
News
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.

‘Giant AI goes down the European road’

Informatietype:
Insight
31 March 2023

TNO supports the alarming call of the Future of Life Institute regarding AI. Regulation is urgent and cannot be left solely to the market. Read TNO's response.