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2100 AI: Reflections on the mechanisation of scientific discovery

Mannocci, Andrea; Salatino, Angelo A.; Osborne, Francesco and Motta, Enrico (2017). 2100 AI: Reflections on the mechanisation of scientific discovery. In: Recoding Black Mirror @ ISWC '17, 21-25 October 2017, Wien, Austria.

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Abstract

The pace of research is nowadays extremely intensive, with datasets and publications being published at an unprecedented rate. In this context data science, artificial intelligence, machine learning and big data analytics are providing researchers with new automatic techniques which not only help them to manage this flow of information but are also able to identify automatically interesting patterns and insights in this vast sea of information. However, the emergence of mechanised scientific discovery is likely to dramatically change the way we do science, thus introducing and amplifying serious societal implications on the role of researchers themselves, which need to be analysed thoroughly.

Item Type: Conference or Workshop Item
Keywords: artificial intelligence; semantic web; scientific discovery; knowledge discovery; future research; dystopian; black mirror; mechanised scientific discovery; discovery informatics; artificial scientist
Academic Unit/School: Faculty of Science, Technology, Engineering and Mathematics (STEM) > Knowledge Media Institute (KMi)
Faculty of Science, Technology, Engineering and Mathematics (STEM)
Interdisciplinary Research Centre: Centre for Research in Computing (CRC)
Item ID: 50949
Depositing User: Andrea Mannocci
Date Deposited: 27 Sep 2017 10:25
Last Modified: 27 Sep 2017 14:06
URI: http://oro.open.ac.uk/id/eprint/50949
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