Algorithmic Bias

topic on 3 shows · 3 statements across 3 episodes

the Y Combinator Startup Podcast the MAD Podcast the a16z Podcast

3 statements about Algorithmic Bias, every show

a16z Insight
Chen: Algorithmic bias comes from incomplete datasets, not neural network architecture
“When people talk about bias in algorithms, they're mostly talking about this phenomenon, which is the human researcher or the human programmer selected an incomplete data set, and therefore you got biased results, as opposed to somehow the architecture of the …”
Frank Chen Jan 2, 2019 ▶ 31:58 a16z Podcast | Revenge of the Algorithms (Over Data)... Go! No?
Brundage: Near-term AI fairness issues are fundamentally human value alignment problems
“You could frame a lot of current issues as value alignment problems, so things around bias and fairness. So I think ultimately, you know, there's a question of how do you extract human preferences, and how do you deal with the fact that humans might not have c…”
Miles Brundage Apr 25, 2018 ▶ 36:52 A.I. Policy and Public Perception - Miles Brundage and Tim Hwang · Y Combinator
MAD Prediction Not checkable as stated
Jake Porway: Unintended algorithmic biases will dictate how humans actually work.
“These unintended cultural and social biases are making their way into tools that are going to shape the way people work.”
Jake Porway May 28, 2015 ▶ 17:41 Jake Porway, DataKind // Data For The Greater Good (FirstMark / Data Driven NYC)

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