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The article in the issue 8:1:
The date of the publication:
2019-03-15
The number of pages:
115
The issue:
8:1
Commentaries:
0
The Authors
Lluis Oviedo, Hans Van Eyghen, Basil Lourié, Rico Vitz, Tudor Petcu, Matthew Williams, Martin Braddock, Riccardo Campa, Margaret Boone Rappaport, Christopher Corbally, Tony Milligan, Gonzalo Munévar,
Matthew S Williams is a professional writer for Universe Today and Interesting Engineering. His articles have been featured in Phys.org, HeroX, Popular Mechanics, Business Insider, Gizmodo and IO9, Science Alert, Knowridge Science Report, and Real Clear Science, with topics ranging from astronomy and Earth sciences to technological innovation and environmental issues. He is also a former educator, a science-fiction author, and a 5th degree Black Belt Tae Kwon Do instructor. He lives on Vancouver Island with his wife and family.
Martin Braddock is a professional scientist, project manager and project leader working for a large pharmaceutical company. He has published over 170 articles in many journals including Nature, Cell, Human Gene Therapy and Nature Drug Discovery and more recently papers in astronomical journals for which astronomy is a passionate hobby. He is a member of Sherwood Observatory in the UK, a Fellow of the Royal Astronomical Society, a Fellow of the Royal Society of Biology and live in Nottinghamshire with his wife and family.
ARTICLE:
AI Case Studies: Potential for Human Health,
Space Exploration and Colonisation and a Proposed Superimposition
of the Kubler-Ross Change Curve on the Hype Cycle
autor: Matthew Williams, Martin Braddock,
The development and deployment of artificial intelligence (AI) is and will
profoundly reshape human society, the culture and the composition of
civilisations which make up human kind. All technological triggers tend to
drive a hype curve which over time is realised by an output which is often
unexpected, taking both pessimistic and optimistic perspectives and actions of
drivers, contributors and enablers on a journey where the ultimate destination
may be unclear. In this paper we hypothesise that this journey is not dissimilar
to the personal journey described by the Kubler-Ross change curve and
illustrate this by commentary on the potential of AI for drug discovery,
development and healthcare and as an enabler for deep space exploration and
colonisation. Recent advances in the call for regulation to ensure development
of safety measures associated with machine-based learning are presented
which, together with regulation of the rapidly emerging digital after-life
industry, should provide a platform for realising the full potential benefit of AI
for the human species.
