Submitted via IRC for Bytram
In the introduction to her new book, Hannah Fry points out something interesting about the phrase "Hello World." It's never been quite clear, she says, whether the phrase—which is frequently the entire output of a student's first computer program—is supposed to be attributed to the program, awakening for the first time, or to the programmer, announcing their triumphant first creation.
Perhaps for this reason, "Hello World" calls to mind a dialogue between human and machine, one which has never been more relevant than it is today. Her book, called Hello World, published in September, walks us through a rapidly computerizing world. Fry is both optimistic and excited—along with her Ph.D. students at the University of College, London, she has worked on many algorithms herself—and cautious. In conversation and in her book, she issues a call to arms: We need to make algorithms transparent, regulated, and forgiving of the flawed creatures that converse with them.
I reached her by telephone while she was on a book tour in New York City.
(Score: 1) by khallow on Tuesday November 20 2018, @01:39PM
For example, there's plenty of cases where technologies or particular practitioners of technology have been ruled out as court evidence. So for the algorithm that's supposed to be used for sentencing? Show bias of the illegal sort (such as against gender, religious beliefs, etc in the US), and your have the basis for overturning every bit of sentencing done with that algorithm.
Scratch the surface of almost any human activity and someone is regulating it. You just need to look.
It still needs to be a problem in the first place. The key flaw is simply that an algorithm is not an action. When you regulate algorithms, you aren't actually regulating the problem behavior. And as I noted earlier, there's already regulation (and means to implement more regulation should that become necessary) that don't require any sort of specialized regulatory system. People have been implementing bureaucratic algorithms, for example, for thousands of years.
Further, most of the problems mentioned would be problems no matter what the algorithm was. Such as the project that siphoned a couple million UK residents' health data.
What AI? It's not what we have now. And we don't know enough, in the absence of credible AI, to decide what aspects need regulation.