![]() And we're not trying to reinvent the wheel. Lots has been written about the problems that can arise, especially related to privacy and fairness. The topics we cover include privacy, fairness, strategic interactions and gaming, and the scientific reproducibility crisis. The book is about the problems that arise when algorithmic decision making interacts with human beings - and the emerging science about how to fix them. But there should be plenty in it to interest experts too, because we cover quite a bit of ground. Its intended readership isn't just computer science PhDs, but the educated public broadly. This was the first time for either of us writing something like this: it's not a textbook, it's a "trade book" - a popular science book. It's coming out in October (Amazon says the release date is November 1st, but my understanding is that pre-orders will start shipping on October 4). So my amazing colleague Michael Kearns and I wrote a book, called The Ethical Algorithm. ![]() ![]() But it can be both fun and important to communicate to a wider audience as well. As an academic, we do a lot of writing about the things we work on, but usually our audience is narrow and technical: other researchers in our sub-specialty. I've had the good fortune to be able work on a number of research topics so far: including privacy, fairness, algorithmic game theory, and adaptive data analysis, and the relationship between all of these things and machine learning. ![]()
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