IEEE Technology and Society Magazine - March 2018 - 46

anthropological and sociological issues involved in
human/machine collaboration. It is also reasonable to
hope that developments in robot scientists will contribute to the philosophy of science: compared to traditional
approaches the development of robot scientists is constructive and objective.
In chess there is a continuum of ability from novices
up to Grandmasters. We argue that this is also true in science, from the simple research of Adam/Eve, through
what most human scientists can achieve, up to the ability
of a Newton or Einstein. If one accepts this, then just as in
chess, it is likely that advances in technology and our
understanding of science will drive the development of
ever-smarter robot scientists. To encourage research in
this area Hiroaki Kitano has called for new grand challenge for AI: to develop an AI system that can make major
scientific discoveries in biomedical sciences worthy of a
Nobel Prize [6]. This may sound fantastical, yet the Physics
Nobel Frank Wilczek is on record as saying that in 100
years' time the best physicist will be a machine [38]. If
this comes to pass, this will not only transform technology, but our understanding of science and the Universe.

Acknowledgment
The authors of this manuscript have been partially supported by the AdaLab project funded by EPSRC UK (EP/
M015661/1).

Author Information
Ross D. King is with the Manchester Institute of Biotechnology, University of Manchester, Manchester, U.K.
Vlad Schuler Costa is with the School of Social Sciences, University of Manchester, Manchester, U.K.
Chris Mellingwood is with the School of Social and Political Sciences, University of Edinburgh, Edinburgh, Scotland.
Larisa N. Soldatova is with the Computing Department, Goldsmiths, University of London, London, U.K.

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