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What Will Happen When Your Company’s Algorithms Go Wrong?

Harvard Business

AI failures, on the other hand, are directly related to the mistakes produced by the intelligence such systems are designed to exhibit. ” A system can fail to learn what its designers want it to learn and might instead learn a different, but correlated function. 2015: Image tagging software classified black people as gorillas.

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What a Toys “R” Us Comeback Could Look Like

Harvard Business

Imagine venues designed not around stocking toy packages with never-ending red-tag sales but around toys themselves with never-ending play experiences — one with spots where children can play with LEGO sets and participate in gaming tournaments. Imagine a studio where kids can design and create toys.

Retail 28
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How Companies Are Benefiting from “Lite” Artificial Intelligence

Harvard Business

For many companies, the price tag and the commitment of resources are too high a hurdle. A recent accident involving a Tesla “autonomous car” has raised questions about AI’s current limits.). For example, it took nearly a year to design, build, and implement ABIe.

Company 28
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Why Are We Still Classifying Companies by Industry?

Harvard Business

They have expanded far beyond the “Information Technology” tag attached to them by GICS. Rather than build and manage everything themselves, these companies leverage the assets of you and me — our cars, homes, skills, and networks. It’s not an industry in itself.

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The Mental Benefits of Vacationing Somewhere New

Harvard Business

I knew I wouldn’t be able to navigate the narrow roads full of tuk-tuks, bicyclists, and pedestrians in a rental car, and the prospect of purchasing transport, food, clothes, or art without any indication of their price was daunting. Far too many business and personal trips are designed to maximize comfort and minimize uncertainty.

Travel 53
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How to Prepare the Next Generation for Jobs in the AI Economy

Harvard Business

Most of us regard self-driving cars, voice assistants, and other artificially intelligent technologies as revolutionary. People design AI systems by carefully decomposing a problem into lots of small problems, and enabling the solutions to the small problems to communicate with each other. But it’s clearly not magic.

How To 51