  Recent developments in AI, Machine Learning and Robotics have raised concerns
about the ethical consequences of both academic and industrial AI research.
Leading academics, businessmen and politicians have voiced an increasing number
of questions about the consequences of AI not only over people, but also on the
large-scale consequences on the the future of work and employment, its social
consequences and the sustainability of the planet. In this work, we analyse the
use and the occurrence of ethics-related research in leading AI, machine
learning and robotics venues. In order to do so we perform long term,
historical corpus-based analyses on a large number of flagship conferences and
journals. Our experiments identify the prominence of ethics-related terms in
published papers and presents several statistics on related topics. Finally,
this research provides quantitative evidence on the pressing ethical concerns
of the AI community.
