Bishop and AI news

Stephen Hawking thinks computers may surpass human intelligence and take over the world. This view is based on the ideology that all aspects of human mentality will eventually be realised by a program running on a suitable compu...


Connection Science

All individual members of The Society for the Study of Artificial Intelligence and Simulation of Behaviour have a personal subscription to the Taylor Francis journal Connection Science as part of their membership. How to Acce...


Al-Rifaie on BBC

AISB Committee member and Research Fellow at Goldsmiths, University of London, Dr Mohammad Majid al-Rifaie was interviewed by the BBC (in Farsi) along with his colleague Mohammad Ali Javaheri Javid on the 6 November 2014. He was a...


Rose wins the Loebne...

After 2 hours of judging at Bletchley Park, 'Rose' by Bruce Wilcox was declared the winner of the Loebner Prize 2014, held in conjunction with the AISB.  The event was well attended, film live by Sky News and the special guest jud...


AISB Convention 2015

The AISB Convention is an annual conference covering the range of AI and Cognitive Science, organised by the Society for the Study of Artificial Intelligence and Simulation of Behaviour. The 2015 Convention will be held at the Uni...


Yasemin Erden on BBC

AISB Committee member, and Philosophy Programme Director and Lecturer, Dr Yasemin J. Erden interviewed for the BBC on 29 October 2013. Speaking on the Today programme for BBC Radio 4, as well as the Business Report for BBC world N...


Mark Bishop on BBC ...

Mark Bishop, Chair of the Study of Artificial Intelligence and the Simulation of Behaviour, appeared on Newsnight to discuss the ethics of ‘killer robots’. He was approached to give his view on a report raising questions on the et...


AISB YouTube Channel

The AISB has launched a YouTube channel: ( The channel currently holds a number of videos from the AISB 2010 Convention. Videos include the AISB round t...



AISB opportunities Bulletin Item

Assistant Professorship (tenure-track) in Machine Learning/AI, Blacksburg VA (U.S.A.)

*Department of Computer Science, Virginia Tech*

The Department of Computer Science at Virginia Tech ( invites
applications for a full-time tenure-track position, at the rank of
Assistant Professor, from candidates with expertise in artificial
intelligence having specific emphasis on machine learning or reasoning
under uncertainty. The department is in the process of making multiple
hires over multiple years in this area. Candidates should have a record of
scholarship, leadership, and collaboration in computing and
interdisciplinary areas; demonstrated ability to contribute to teaching at
the undergraduate and graduate levels in AI and related subjects;
sensitivity to issues of diversity in the campus community; and the skills
to establish and grow a multidisciplinary research group.

CS@VT has 36 tenure-track research-oriented faculty including 12 NSF CAREER
award winners, PhD production among the top 30 in the USA, and annual
research expenditures exceeding .5 million. The department is home to the
Discovery Analytics Center (, a university-wide effort that
brings together faculty with strengths in machine learning, big data, and
data mining applied to problems of national interest. There also are rich
opportunities in a highly collaborative department with strengths in HCI,
HPC, computational biology and bioinformatics, information retrieval,
software engineering, CyberArts, and CS education. Beyond the department,
there are opportunities for collaboration in machine learning with faculty
in ECE and Statistics. Research on security and personal health informatics
is possible in collaboration with the VT-Carilion Research Institute
associated with the VT-Carilion School of Medicine.

CS@VT is part of the College of Engineering ( in a
comprehensive research university with more than 26,000 students. This hire
is for the main campus in Blacksburg (see, consistently ranked among the
country?s best places to live.

Salary for suitably qualified applicants is competitive and commensurate
with experience. Virginia Tech is an Equal Opportunity/Affirmative Action

Early applications are encouraged. Applications must be submitted online to for posting #0122414. Applicant screening will begin
December 31, 2012 and continue until the position is filled. Inquiries
should be directed to Dr. Doug Bowman, AI/ML Search Committee Chair,