The Current State of Machine Intelligence
Shivon Zilis

Machine Intelligence Doctor as a Service

This brought up the issue of quality control. Systems set up to evolve, learn and grow will become monsters. They may be cuddly, helpful, friendly monsters but they will also be erratic, complicated, aggressive monsters. And by definition, they won’t employ ethics when moving through our world.

Issues of algorithmic biases are real.

This seems like a great opportunity for another category. Algorithmic Health — These would provide discovery, audits and suggestions to strengthen the health of your intelligent machine. Diagnosis's that span the range of financial — ethical could be provided and solutions could be suggested and built.

Government could and should play a role too. If our world is becoming increasingly driven by these types of systems it’s important that we keep an eye on protecting people just as we do with all the other types of systems in our lives.