Skip to content

AI

Should PREDICTED Smokers Get Transplants?

By Tom Douglas

Jack has smoked a packet a day since he was 22. Now, at 52, he needs a heart and lung transplant.

Should he be refused a transplant to allow a non-smoker with a similar medical need to receive one? More generally: does his history of smoking reduce his claim to scarce medical resources?

If it does, then what should we say about Jill, who has never touched a cigarette, but is predicted to become a smoker in the future? Perhaps Jill is 20 years old and from an ethnic group with very high rates of smoking uptake in their 20s. Or perhaps a machine-learning tool has analysed her past facebook posts and google searches and identified her as a ‘high risk’ for taking up smoking—she has an appetite for risk, an unusual susceptibility to peer pressure, and a large number of smokers among her friends. Should Jill’s predicted smoking count against her, were she to need a transplant? Intuitively, it shouldn’t. But why not?

Read More »Should PREDICTED Smokers Get Transplants?

Cross Post: Common Sense for A.I. Is a Great Idea. But it’s Harder Than it Sounds.

Written by Carissa Veliz Crosspost from Slate.  Click here to read the full article At the moment, artificial intelligence may have perfect memories and be better at arithmetic than us, but they are clueless. It takes a few seconds of interaction with any digital assistant to realize one is not in the presence of a… Read More »Cross Post: Common Sense for A.I. Is a Great Idea. But it’s Harder Than it Sounds.

Video Series: Is AI Racist? Can We Trust it? Interview with Prof. Colin Gavaghan

Should self-driving cars be programmed in a way that always protects ‘the driver’? Who is responsible if an AI makes a mistake? Will AI used in policing be less racially biased than police officers? Should a human being always take the final decision? Will we become too reliant on AIs and lose important skills? Many interesting… Read More »Video Series: Is AI Racist? Can We Trust it? Interview with Prof. Colin Gavaghan

World funds: implement free mitigations

The future is uncertain and far. That means, not only do we not know what will happen, but we don’t reason about it as if it were real: stories about the far future are morality tales, warnings or aspirations, not plausible theories about something that is going to actually happen.

Some of the best reasoning about the future assumes a specific model, and then goes on to explore the ramifications and consequences of that assumption. Assuming that property rights will be strictly respected in the future can lead to worrying consequences if artificial intelligence (AI) or uploads (AIs modelled on real human brains) are possible. These scenarios lead to stupidly huge economic growth combined with simultaneous obsolescence of humans as workers – unbelievable wealth for (some of) the investing class and penury for the rest.

This may sound implausible, but the interesting thing about it is that there are free mitigation strategies that could be implemented right now. Read More »World funds: implement free mitigations