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