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The Perils of Applying AI Prediction to Complex Decisions /
While AI is brilliantly placed to solve decisions that are concrete and well-defined, in other contexts it can fail spectacularly, showing connections between facts or events but stumbling when the need to disentangle cause from correlation arises. Human input in the form of subject matter knowledge...
| Autores principales: | , |
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| Formato: | Electrónico eBook |
| Idioma: | Inglés |
| Publicado: |
MIT Sloan Management Review,
2019.
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| Edición: | 1st edition. |
| Acceso en línea: | Texto completo (Requiere registro previo con correo institucional) |
MARC
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| 100 | 1 | |a Athey, Susan, |e author. | |
| 245 | 1 | 4 | |a The Perils of Applying AI Prediction to Complex Decisions / |c Athey, Susan. |
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| 264 | 1 | |b MIT Sloan Management Review, |c 2019. | |
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| 520 | |a While AI is brilliantly placed to solve decisions that are concrete and well-defined, in other contexts it can fail spectacularly, showing connections between facts or events but stumbling when the need to disentangle cause from correlation arises. Human input in the form of subject matter knowledge and common sense are often needed to complement AI. And executives must understand which challenges are right for these new technologies to address. | ||
| 542 | |f Copyright © 2019 MIT Sloan Management Review |g 2019 | ||
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| 588 | 0 | |a Online resource; Title from title page (viewed May 12, 2019). | |
| 590 | |a O'Reilly |b O'Reilly Online Learning: Academic/Public Library Edition | ||
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