Delayed Impact of Fair Machine Learning: A response

Lydia T. Liu, Sarah Dean, Esther Rolf, Max Simchowitz and Moritz Hardt in “Delayed Impact of Fair Machine Learning” rightly make the point that in considering notions of fairness, it is critical that we consider them dynamically in terms of their long-term effects on a population, and not just statically. They argue that seemingly attractive and fair … Continue reading Delayed Impact of Fair Machine Learning: A response

Contra the Lebowski Theorem

See: https://kottke.org/18/04/the-lebowski-theorem-of-machine-superintelligence The fundamental mistake behind this thinking is the premise that agents with goals seek to be in a position where they no longer have unfulfilled goals or where they have important fufilled goals. This isn’t true, rather agents with goals seek to fulfil their goals. The difference between these things is subtle, and … Continue reading Contra the Lebowski Theorem