The Ethics of Gently Electrifying Prisoners’ Brains
By Hazem Zohny and Tom Douglas
Scientists who want to study the effects of passing electric currents through prisoners’ brains have a PR problem: it sounds shady. Even if that electric current is so small as to go largely unnoticed by its recipient – as in the case of transcranial direct current stimulation (tDCS) – for some, such experiments evoke historical abuses of neuroscience in criminal justice, not to mention bringing to mind some of the more haunting scenes in films like One Flew Over the Cuckoo’s Nest and A Clockwork Orange.
And so, last week the Spanish Interior Ministry put on hold an impending experiment in two Spanish prisons investigating the impact of brain stimulation on prisoners’ aggression. At the time of writing, it remains unclear what the ministry’s reasoning for the halt is, though the optics of the experiment might be part of the story.
Ethical AI Kills Too: An Assement of the Lords Report on AI in the UK
Hazem Zohny and Julian Savulescu
Cross-posted with the Oxford Martin School
Developing AI that does not eventually take over humanity or turn the world into a dystopian nightmare is a challenge. It also has an interesting effect on philosophy, and in particular ethics: suddenly, a great deal of the millennia-long debates on the good and the bad, the fair and unfair, need to be concluded and programmed into machines. Does the autonomous car in an unavoidable collision swerve to avoid killing five pedestrians at the cost of its passenger’s life? And what exactly counts as unfair discrimination or privacy violation when “Big Data” suggests an individual is, say, a likely criminal?
The recent House of Lords Artificial Intelligence Committee’s report acknowledges the centrality of ethics to AI front and centre. It engages thoughtfully with a wide range of issues: algorithmic bias, the monopolised control of data by large tech companies, the disruptive effects of AI on industries, and its implications for education, healthcare, and weaponry.
Many of these are economic and technical challenges. For instance, the report notes Google’s continued inability to fix its visual identification algorithms, which it emerged three years ago could not distinguish between gorillas and black people. For now, the company simply does not allow users of Google Photos to search for gorillas.
But many of the challenges are also ethical – in fact, central to the report is that while the UK is unlikely to lead globally in the technical development of AI, it can lead the way in putting ethics at the centre of AI’s development and use.
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