It’s mostly a convenient excuse to repeat well-worn tropes about The Three Laws of Robotics and point out - sagely - that the dreams of building intelligent machines are long-standing.īut, the cliche misses the mark.
MODERN MOVIES ABOUT ARTIFICIAL INTELLIGENCE SERIES
“Asimov’s Robot series is perhaps the cliche reference that gets rolled out when talking about the social impact of artificial intelligence. Recommended by Tim Hwang, director of the Harvard-MIT Ethics and Governance of AI Initiative “Franchise ,” from If magazine, by Isaac Asimov Graphic by Michele Doying / The Verge While still considered controversial (see Pearl’s debate with statistician Andrew Gelman on Twitter), The Book of Why presents a new narrative that questions and redefines the building blocks of our AI systems.” ★ “Franchise ,” by Isaac Asimov
MODERN MOVIES ABOUT ARTIFICIAL INTELLIGENCE ZIP
Many of our issues of biased outcomes in AI systems stem from an incomplete or poor understanding of interrelated variables (race and zip code, or socioeconomic status and education, for example). The dirty secret of the AI and machine learning methods we use for prediction is that they cannot actually tell us with certainty whether some factor caused another, instead relying on millions of repetitions to give us high-value correlations. This is a fundamental weakness embedded in the history of statistics and tarnishes how we ask questions and seek answers. According to the authors, we lack a language of causality that is, quantifiable proof that one thing causes another. This book’s humble and engaging writing style belies a deep hypothesis: the fundamental roots of our current systems of predictive modeling are wrong. “An AI book with no robots, no doomsday scenarios, and no grandiose predictions of the future? How refreshing. Recommended by Rumman Chowdhury, Responsible AI lead at Accenture How will long term progress in AI look? Will it follow a predictable trajectory, with the field having a clear view of the upcoming progress in the next 5-10 years, or will we stumble upon a surprising yet disproportionate advance in AI that will transform the world rapidly? The perspective in Profiles means these questions are worth pondering.” ★ The Book of Why, by Judea Pearl and Dana Mackenzie
As a result, even to most experts, massive technological change appeared to come ‘out of nowhere.’ In each case, the technology was predicted by a small number of optimists amongst a very large, vocal set of genuinely accomplished experts who were confident that a particular dramatic technological advance would never be achieved (at least not on a practical timescale). Clarke’s predictions about the future, early chapters analyze others’ predictions about technologies like airplanes, space travel, and nuclear power before their development. Profiles made us realize there are some highly important exceptions.
We used to think of technological change as a gradual, slow process - the sum of many small innovations that, when zoomed out, create only the illusion of rapid technological change.
“ Profiles of the Future changed our beliefs about how rapidly AI might affect the world. Recommended by Greg Brockman and Ilya Sutskever, co-founders of OpenAI Clarke Graphic by Michele Doying / The Verge So read, enjoy, and get to know the captivating world of AI a little bit better. It’s an eclectic selection that ranges from practical primers to Golden Age sci-fi, and while reading everything listed below won’t get you a job at Google (though it certainly couldn’t hurt), it will give you much-needed context for this confusing and exciting time.
In order to help, The Verge has assembled a reading list: a brief but diverse compendium of books, short stories, and blogs, all chosen by leading figures in the AI world to help you better understand artificial intelligence. Questions like, “what is the nature of creativity?” and “how do we define consciousness?” Posing the question “how can I understand AI?” is nearly as daunting as asking “what is the meaning of life?”īut as with that tricky life question, a sense of overawing complexity doesn’t mean we shouldn’t try. This is a technology that will influence many aspects of our lives, from jobs to entertainment to health care, but that also engages with fundamental questions about what it means to be human. Experts are already building a future world brimming with artificial intelligence, but here in the present most of us are still trying to figure out what AI even is.
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