I spent two weeks in August at Planetary Futures, a summer school at Concordia University in Montreal organised by Orit Halpern, Marie-Pier Boucher, and Pierre Louis Patoine, and hosted at Milieux, the centre for art, technology, and culture at Concordia. The course made links between planetary scale catastrophe and the Anthropocene, and histories of infrastructure, colonialism, and investigated design and fiction as vehicles of speculation about the future(s). It brought
“together the disciplines of the arts, humanities, social sciences, and sciences to collectively investigate this question of how we shall inhabit the world in the face of the current ecological crisis and to rethink concepts and practices of environment, ecology, difference, and technology to envision, and create, a more just, sustainable, and diverse planet. The course will include field visits to extraction sites, energy infrastructures, earth science installations, and speculative architecture and design projects.”
I gave my first talk about ethics and driverless cars for a non-specialist audience at re:publica 2016. In this I look at the problem with the Trolley Problem, the thought experiment being used to train machine learning algorithms in driverless cars. Here, I focus on the problem that logic-based notions of ethics has transformed into an engineering problem; and suggest that this ethics-as-engineering approach is what will allow for American law and insurance companies to assign blame and responsibility in the inevitable case of accidents. There is also the tension that machines are assumed to be correct, except when they aren’t, and that this sits in a difficult history of ‘praising machines’ and ‘punishing humans’ for accidents and errors. I end by talking about questions of accountability that look beyond algorithms and software themselves to the sites of production of algorithms themselves.
Here’s the full talk.
Works cited in this talk:
1. Judith Jarvis Thompson’s 1985 paper in the Yale Law Journal,The Trolley Problem
2. Patrick Lin’s work on ethics and driverless cars. Also relevant is the work of his doctoral students at UPenn looking at applications of Blaise Pascal’s work to the “Lin Problem”
3. Madeleine Elish and Tim Hwang’s paper ‘Praise the machine! Punish the human!’ as part of the Intelligence & Autonomy group at Data & Society
4. Madeleine Elish’s paper on ‘moral crumple zones’; there’s a good talk and discussion with her on the website of the proceedings of the WeRobot 2016 event at Miami Law School.
5. Langdon Winner’s ‘Do Artifacts Have Politics’
6. Bruno Latour’s Actor Network Theory.