Testifying At the Senate About A.I. - Selected Content On The Internet

- Stephan Wolfram tl;dr: Over the summer Stephan was asked by congress whether "algorithmic transparency" is a policy option with regard to regulating "persuasive internet platforms." He discusses the complexities involved and a couple of conceptual options.  

featured in #166

Biased Algorithms Are Easier to Fix Than Biased People

- Sendhil Mullainathan tl;dr: Bias exist in both algorithms and people. Bias caused by an algorithm is symptomatic of a poor data set. If we create a framework to improve data sets - to account for everyone - an algorithm can be trained properly to negate bias. Retraining people is harder. 

featured in #165

The Architect Of Modern Algorithms

tl;dr: Barbara won the Turing Award for developing the Liskov Substitution Principle. She discusses the harm of modern algorithms and her experiences of being an award winning female engineer. 

featured in #162