MIT Sloan Management Review Article on Three People-Centered Design Principles for Deep Learning

Bad data and poorly designed AI systems can lead you to spurious conclusions and hurt customers, your products, and your brand.

Over the past decade, organizations have begun to rely on an ever-growing number of algorithms to assist in making a wide range of business decisions, from delivery logistics, airline route planning, and risk detection to financial fraud detection and image recognition. We’re seeing the end of the second wave of AI, which began several decades ago with the introduction of rule-based expert systems, and moving into a new, third wave, termed perception AI. It’s in this next wave where a specific subset of AI, called deep learning, will play an even more critical role.

About the Author

David A. Bray, Ph.D., (@pci_initiative) is the executive director of the People-Centered Internet coalition and senior fellow at the Florida Institute for Human & Machine Cognition. R “Ray” Wang (@rwang0) is CEO of Constellation Research in Palo Alto, California.

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