And in the case of deep learning, it’s basically impossible to understand how it is making a decision even if you do have the data and the algorithm.

For example, the algorithm could be tweaked to raise the bar for a diagnosis of cancer. There would be fewer false alarms, but patients receiving a negative result could no longer rest so easily.

And train your workforce in algorithm-driven decision-making. Look at the world’s great supply chain companies like Dell, Colgate-Palmolive, Li & Fung.

For example, when ProPublica decided to learn more about personalized emails being sent by the Obama campaign, they launched a project called Message Machine. The idea was to reverse engineer the ...

The new algorithm could help robots make safer, smarter decisions around humans, even amidst the greatest uncertainties.

The Policy Machine The dangers of letting algorithms make decisions in law enforcement, welfare, and child protection.