The Artificial Intelligence and Society discussion group is an interdisciplinary group, set up to discuss the social and ethical implications of Artificial Intelligence (AI). Our members are drawn from several departments at the University of Otago, including Computer Science, Information Science, Philosophy, Law, Economics, Psychology, Zoology, Linguistics, and HEDC (the Higher Education Development Centre). The group has over 40 members; some of those who have given presentations are shown below.
- We run a regular seminar series - see below on this page for a record of the seminars that have taken place.
If you would like to be on the mailing list for these seminars, please contact Alistair Knott (alik at cs dot otago dot ac dot nz)
- We also maintain a list of Organisations studying AI and ethics/society and Articles on AI and ethics/society.
- Some of our members also run a project on Artificial Intelligence and Law in New Zealand, funded by the NZ Law Foundation. The project runs from 2017 to 2019.
- Seminar 1 (4th March): Introduction (Alistair Knott, James Maclaurin, Colin Gavaghan)
- Seminar 2 (18th March): Survey of Initiatives discussing AI and Society around the world (Michael Winikoff, Martin Takac, Alistair Knott)
Seminars surveying the state of the art in AI, and prospects for the near future
- Seminar 3 (8th April): Machine Learning, Computer Vision (Brendan McCane, Steven Mills)
- Seminar 4 (15th April): Motor Control, Agents (Mike Paulin, Michael Winikoff)
- Seminar 5 (22nd April): Planning, Natural Language (Stephen Cranefield, Ali Knott)
- A useful resource: the Electronic Frontier Foundation's Measuring the Progress of AI Research project
Seminars introducing some frameworks for discussing AI technologies
- Seminar 6 (29th April): Driverless cars, ethics frameworks (Steven Mills, James Maclaurin)
Seminars on recent developments in AI ethics / AI and society
Seminars on 'Strong AI'
- Seminar 8 (13th May): Will 'Strong AI' be achieved in the next 20 years? Scientific and Technological questions (James Maclaurin, Ali Knott)
- Seminar 9 (20th May): Legal / ethical issues raised by Strong AI (Lisa Ellis, James Maclaurin, Curtis Barnes, Colin Gavaghan)
- Seminar 10 (27th May): What will the job market look like in 20 years if some form of AI is achieved? (James Maclaurin, Ali Knott)
- Seminar 11 (3rd June): What will people do if AI machines are doing most of the work that people currently do? (Ali Knott, Hunter Hatfield)
AI and semiautomated control
- Seminar 14 (25th Nov): Automation and Human Performance (David O'Hare, Dept of Psychology)
AI approaches to Ethics
- Seminar 15 (2nd Dec): Moral decisions by autonomous systems (Virginia Dignum, Delft University of Technology)
- Seminar 17: Some Social Implications of Intelligent Systems and Affective/Pervasive Computing (Jeremy Pitt, Imperial College London)
Uses of AI in elections
- Seminar 25: Update on the Facebook / Cambridge Analytica story following the Christopher Wylie leak. (Ali Knott)
AI and employment
- Seminar 18: Robots and Jobs: Some Insights from Recent Research (Murat Ungor, Economics)
- Seminar 24: The future of work: an Industrial Relations perspective (Carol Jess, Ruskin/Otago)
- Seminar 25: Universal Basic Income schemes (Murat Ungor, Economics)
AI in the criminal justice system
- Seminar 20: Discrimination, Prejudice and Artificial Intelligence (James Maclaurin)
- Seminar 21: Can humans reduce biases in AI systems? Can AI systems reduce biases in humans? (Ali Knott)
- Seminar 22: Towards Trusting Autonomous systems (Michael Winikoff, Sept 2017). (NB This talk was presented at the Computer Science / Information department seminar.)
Papers presenting the group's discussions
- Seminar 19: How should society prepare for advances in Artificial Intelligence? (Ali Knott). This is a preliminary version of a | talk for the Wanaka branch of the NZ Royal Society, as part of their 150th Anniversary events.
- Organisations studying AI and ethics/society
- Articles on AI and ethics/society
- Will a robot take your job? A somewhat facetious interactive site using projections from a study by Carl Frey and Michael Osborne.