Book description
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.Table of contents
Product information
- Title: The Perils of Applying AI Prediction to Complex Decisions
- Author(s):
- Release date: May 2019
- Publisher(s): MIT Sloan Management Review
- ISBN: 53863MIT60436
You might also like
book
Artificial Intelligence in Practice
Cyber-solutions to real-world business problems Artificial Intelligence in Practice is a fascinating look into how companies …
book
Artificial Intelligence in Finance
Many industries have been revolutionized by the widespread adoption of AI and machine learning. The programmatic …
book
AI for People and Business
If you’re an executive, manager, or anyone interested in leveraging AI within your organization, this is …
book
Analytical Skills for AI and Data Science
While several market-leading companies have successfully transformed their business models by following data- and AI-driven paths, …