The*Australian National University*is launching a major new project
on*Humanising Machine Intelligence*, uniting computer scientists,
philosophers, and social scientists in the pursuit of a more ethical
future for AI and Machine Learning.
We are currently recruiting 8*research-intensive academics, 3 of whom
will be based in the Research School of Computer Science:*
-*Level*: Academic Level B or C
http://en.wikipedia.org/wiki/Academic_ranks_(Australia_and_New_Zealand
<http://en.wikipedia.org/wiki/Academic_ranks_%28Australia_and_New_Zealand%29>
-*Salary*(AUD):**Level B: $98,009-$111,365 plus 17% superannuation,
Level C: $118,044-$131,402 plus 17% superannuation
-*Duration*: 3 years, with possibility of extension to 5 years following
a successful project review. Consideration will be given to tenure-track
or continuing positions in exceptional circumstances (e.g. applicants
already holding such a position).
-*HMI project website*:http://hmi.anu.edu.au/
-*How to apply:*/deadline 15 February
2019/http://jobs.anu.edu.au/cw/en/job/527904/research-fellowfellow
-*Contact:*sylvie.thieb...@anu.edu.au
<mailto:sylvie.thieb...@anu.edu.au>orlexing....@anu.edu.au
<mailto:lexing....@anu.edu.au>
The goal of the HMI project is to forestall the risks posed by
inadequate attention to ethics in the design of MI systems, and help to
realise the tremendous social benefits promised by MI. The project has
three components: (1) Discovery: formulate the design problem by
identifying the social risks and opportunities of widespread reliance on
MI. (2) Foundations: identify and answer the fundamental theoretical
questions on which progress towards ethical MI depends. (3) Design:
develop ethical algorithms and broader MI systems in partnership with
industry and government.
The HMI project chief investigators are: Colin Klein, Seth Lazar and
Katie Steele (Philosophy), Marcus Hutter, Sylvie Thiébaux, Bob
Williamson and Lexing Xie (Computer Science), Jenny Davis (Sociology),
Idione Meneghel (Economics), and Toni Erskine (Political Science).
We are looking for up to eight talented academics to help us humanise
machine intelligence. Our primary criterion is demonstrated research
excellence in a discipline area relevant to the project, and the clear
potential to be research leaders in their disciplines and in the field
of moral AI. An interdisciplinary background is not required, but
successful applicants will be ready and equipped to engage with scholars
from other disciplines and are expected to work actively with scholars
from at least two of the project’s discipline areas.
Three of these new academics will be based in the Research School of
Computer Science. Within this discipline, we strongly encourage
researchers with a wide range of technical backgrounds, including but
not limited to computational social choice and game theory, decision
theory, information theory, logic and automated reasoning, artificial
general intelligence, machine learning, optimisation, planning &
scheduling, reasoning about constraints & preferences, and reinforcement
learning.
Successful applicants will help us design the next generation of more
ethical MI systems, in part through publishing internationally
influential research in the leading peer-reviewed venues (as suited to
their discipline). We expect them to become leaders in academia,
industry or government. As well as conducting research at the highest
level, they will help build the HMI community at ANU and globally,
through convening a regular seminar series and international workshops.
They will also contribute, at a reduced intensity, to the education and
outreach agendas of the School, in a manner appropriate to the level of
appointment.
______________________
Marcus Hutter, Professor
Australian National University
Canberra ACT 2600, Australia
http://www.hutter1.net/
_______________________________________________
uai mailing list
uai@ENGR.ORST.EDU
https://secure.engr.oregonstate.edu/mailman/listinfo/uai