Название: Made by Humans: The AI Condition Автор: Ellen Broad Издательство: Melbourne University Press Digital ISBN: 0522873324 Год: 2018 Страниц: 228 Язык: английский Формат: epub, azw3, rtf, pdf (conv) Размер: 10.1 MB
An Australian data expert challenges the idea of AI being better than humans. Who is designing AI (Artificial intelligence)? A select, narrow group. How is their world view shaping our future?
Artificial intelligence can be all too human: quick to judge, capable of error, vulnerable to bias. It’s made by humans, after all. Humans make decisions about the laws and standards, the tools, the ethics in this new world. Who benefits. Who gets hurt.
Over the last few years, AI has become a hot topic again. While it covers different technologies and areas of study—virtual reality, drones, robotics, machine learning, natural language processing, applied statistics—perhaps the biggest driver of the current wave of excitement about AI is data. Abundant, endlessly proliferating, cheap data generated through digital technologies. Data was the lead that brought me to AI.
There’s serious investment in AI systems using large quantities of data to make predictions and decisions. The general idea is that more data equals more informed decisions than we’ve been able to make in the past. Decisions that are ‘more accurate’, ‘better’ than humans are capable of. This is possible in lots of contexts. Google DeepMind, arguably the most famous AI company in the world right now, used a database of millions of recorded moves by players of the abstract, ancient strategy board game Go to teach its AlphaGo algorithm to mimic—and then go beyond—human game play, ultimately beating the best players in the world at their own game. SpaceX, Elon Musk’s space exploration company, is using machine learning to land rockets after re-entry, massively reducing the costs associated with space travel.
Made by Humans explores our role and responsibilities in automation. Roaming from Australia to the UK and the US, elite data expert Ellen Broad talks to world leaders in AI about what we need to do next. It is a personal, thought-provoking examination of humans as data and humans as the designers of systems that are meant to help us.
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