Latest post:

«  We’re using algorithms as crystal balls to make predictions on behalf of society, when we should be using them as a mirror to examine ourselves and our social systems more critically. Machine …
May 20th, 2018
« We’re using algorithms as crystal balls to make predictions on behalf of society, when we should be using them as a mirror to examine ourselves and our social systems more critically. Machine learning and data science can help us better understand and address the underlying causes of poverty and crime, as long as we stop using these tools to automate decision-making and reinscribe historical injustice. »

As long as AI is based on pattern-matching rather than causality, predicting with AI will equate perpetuating… and this includes perpetuating inequalities, injustices, biases, etc.
Judea Pearl, recipient of the Turing award, also pushes for causality into AI (https://www.quantamagazine.org/to-build-truly-intelligent-machines-teach-them-cause-and-effect-20180515/).
When we start accumulating evidence that the current system is flawed, maybe we should pause, instead of continuing the race toward flawed systems?

h/t +Mark Traphagen