In this section
Several of our current PhD candidates and fellow researchers at the Data Science Institute have published, or in the proccess of publishing, papers to present their research.
@article{Molina-Solana:2018:10.1186/s41044-018-0034-z,
author = {Molina-Solana, M and Kennedy, M and Amador, Diaz Lopez J},
doi = {10.1186/s41044-018-0034-z},
journal = {Big Data Analytics},
title = {foo.castr: visualising the future AI workforce},
url = {http://dx.doi.org/10.1186/s41044-018-0034-z},
volume = {3},
year = {2018}
}
TY - JOUR
AB - Organization of companies and their HR departments are becoming hugely affected by recent advancements in computational power and Artificial Intelligence, with this trend likely to dramatically rise in the next few years. This work presents foo.castr, a tool we are developing to visualise, communicate and facilitate the understanding of the impact of these advancements in the future of workforce. It builds upon the idea that particular tasks within job descriptions will be progressively taken by computers, forcing the shaping of human jobs. In its current version, foo.castr presents three different scenarios to help HR departments planning potential changes and disruptions brought by the adoption of Artificial Intelligence.
AU - Molina-Solana,M
AU - Kennedy,M
AU - Amador,Diaz Lopez J
DO - 10.1186/s41044-018-0034-z
PY - 2018///
SN - 2058-6345
TI - foo.castr: visualising the future AI workforce
T2 - Big Data Analytics
UR - http://dx.doi.org/10.1186/s41044-018-0034-z
UR - http://hdl.handle.net/10044/1/64978
VL - 3
ER -
Data Science Institute
William Penney Laboratory
Imperial College London
South Kensington Campus
London SW7 2AZ
United Kingdom
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