Tag: ai-strategy

• Asking the Right Questions About AI

  By Yonatan Zunger

  We’re going to talk about the realities of AI: what it can and can’t actually do, what it might be able to do in the future, and what some of the social, cultural, and ethical challenges it poses are.

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• From Behaviorist to Constructivist AI

  By Aaron Schumacher

  B. F. Skinner might be satisfied that neural networks achieve intelligence when they perform tasks well. This behaviorist perspective leads to misunderstandings of current technology and limits development toward systems that think. (...) In general, a constructivist approach will become necessary for advanced machine learning and artificial intelligence.

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• How Humans and Bots Can Work Together to Test Software

  By Janna Loeffler

  Do I need to be a genius to use AI for software testing? Is AI going to replace me as a tester? Where does AI fit into my testing strategy?

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• Quality Assurance for Artificial Intelligence (three-part series)

  By Michael Perlin

  So you give your data to a guy who calls him/herself a data scientist and ask them to create something for predicting the demand — the data scientist calls this the “model”. (...) After the model is delivered, you need to know if you can trust it (blindly) and use the predictions in your daily work.

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• Robots aren’t taking our jobs — they’re becoming our bosses

  By Josh Dzieza

  In warehouses, call centers, and other sectors, intelligent machines are managing humans, and they’re making work more stressful, grueling, and dangerous.

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