The Four Quadrant Exercise

The Four Quadrant Exercise

Don't want to read? Watch this post on youtube

Consumer vs Industrial

Joshua Bloom reminds us how the impact of false positives in machine learning in the consumer vs industrial world are different.

In the consumer space, a false positive may accidentally send you a shirt you don't like, or a false negative may fail to send an advertisement. In healthcare, a false positive may accidentally suggest a patient requires urgent surgery, and a false negative may be fatal.

Four Quadrant Exercise

This four quadrant exercise outlines the impact of true positives & negatives, and false positives and negatives. It can help articulate in a more explicit manner the potential impact of unintended consequences.

The exercise could be run multiple times, each time imaging a different potential 'scope' of impact for a machine learning project.  This can help identify which four quadrant iteration has the most suitably balanced risk profile. In turn, that can be used to set the product's requirements & specifications.

The exercise can also be done prior to implementation of a new product into a workflow to determine potential unintended consequences of false results. 

There certainly will be situations where a product may have the potential for incredible true positive and true negative results; however, the false positive and false negatives that result from it are unable to be satisfactory mitigated and lead to favouring a more 'restrained' implementation.

As always, the best book on the impact of technology on life, and the importance of unintended consequences is Ursula Franklin's The real world of technology.

Express Lifts:  Faster hospital elevators

Express Lifts: Faster hospital elevators

World Economic Forum 2018:  Healthcare Videos

World Economic Forum 2018: Healthcare Videos