AI Bibliography

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Brynjolfsson, E., & Mcafee, A. (2017). Artificial intelligence, for real. Harvard business review, 1, 1–31. 
Resource type: Journal Article
BibTeX citation key: Brynjolfsson2017
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Categories: Artificial Intelligence, Cognitive Science, Complexity Science, Computer Science, Data Sciences, Decision Theory, General
Subcategories: Augmented cognition, Autonomous systems, Big data, Decision making, Deep learning, Machine learning, Machine recognition
Creators: Brynjolfsson, Mcafee
Publisher:
Collection: Harvard business review
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Abstract

For more than 250 years the fundamental drivers of economic growth have been technological innovations. The most important of these are what economists call general-purpose technologies — a category that includes the steam engine, electricity, and the internal combustion engine. Each one catalyzed waves of complementary innovations and opportunities. The internal combustion engine, for example, gave rise to cars, trucks, airplanes, chain saws, and lawnmowers, along with big-box retailers, shopping centers, cross-docking warehouses, new supply chains, and, when you think about it, suburbs. Companies as diverse as Walmart, UPS, and Uber found ways to leverage the technology to create profitable new business models.

The most important general-purpose technology of our era is artificial intelligence, particularly machine learning (ML) — that is, the machine’s ability to keep improving its performance without humans having to explain exactly how to accomplish all the tasks it’s given. Within just the past few years machine learning has become far more effective and widely available. We can now build systems that learn how to perform tasks on their own.


  
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