Title: Hello World Pdf Being Human in the Age of Algorithms
Shortlisted for the 2018 Royal Society Investment Science Book Prize
A look inside the algorithms that are shaping our lives and the dilemmas they bring with them.
If you were accused of a crime, who would you rather decide your sentence - a mathematically consistent algorithm incapable of empathy or a compassionate human judge prone to bias and error? What if you want to buy a driverless car and must choose between one programmed to save as many lives as possible and another that prioritizes the lives of its own passengers? And would you agree to share your family's full medical history if you were told that it would help researchers find a cure for cancer?
These are just some of the dilemmas that we are beginning to face as we approach the age of the algorithm, when it feels as if the machines reign supreme. Already, these lines of code are telling us what to watch, where to go, whom to date, and even whom to send to jail. But as we rely on algorithms to automate big, important decisions - in crime, justice, healthcare, transportation, and money - they raise questions about what we want our world to look like. What matters most: Helping doctors with diagnosis or preserving privacy? Protecting victims of crime or preventing innocent people being falsely accused?
Hello World takes us on a tour through the good, the bad, and the downright ugly of the algorithms that surround us on a daily basis. Mathematician Hannah Fry reveals their inner workings, showing us how algorithms are written and implemented, and demonstrates the ways in which human bias can literally be written into the code. By weaving in relatable, real world stories with accessible explanations of the underlying mathematics that power algorithms, Hello World helps us to determine their power, expose their limitations, and examine whether they really are improvement on the human systems they replace.
Excellent A well-balanced look at the impact of algorithms on our lives - some that you may never realized existed. You'll read examples that will make you hate them because of their horrible side effects, but then you'll read the marvelous influence they are having and incredible potential to bring about good. Hannah's mathematics background give her wisdom to understand this complex topic and to provide valuable recommendations on the way to a better future with algorithms.Thought-provoking well written I enjoyed reading this, the author writes well about a complex topic without trite simplification or boring detail. The conclusion is great: algorithms need to be contestable and transparent, as already know all human decisions need to be, because all make mistakes.Well Worth Reading The author addresses a subclass of Algorithms (defined p.7ff) and their effects, and potential effects, on society. The subclass of algorithms addressed, which could reasonable be called computer programs, are those that can have a significant effect on people's lives. What she is not talking about are things like the algorithm used to calculate a tangent or to multiply two matrices. The algorithms address range from the massive data collected about people, used for advertising and other purposes, to potential design issues with self-driving cars, medical diagnosis, determining risk in the judicial system or the challenges in facial recognition. These are big tasks and, for the most part, usually considered human functions. Many of the algorithms involved are classed as 'machine-learning'.The author does a good job of pointing out some of the benefits and problems with these algorithms and provides some suggestions for the future. She did, however, miss one of the most important things to warn against: Do not allow Microsoft to provide any life critical programs.The best part of the book is the extensive end-notes. Although the author does not go into great details about the algorithms of interest, she does provide plenty of references which are useful for further research.From reading the book, and my own 40+ years in the computer field, the author appears to be more of a researcher about algorithms than an implementer of algorithms. This results, I think, in a little bit of a lack of understanding about how some algorithms actually work, and what information can be gleaned from their operation (I am especially concerned with the machine-learning programs).I also strongly recommend the author's other book, The Mathematics of Love: Patterns, Proofs, and the Search for the Ultimate Equation (TED Books)
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