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Hanna Wallach

5 statements across 1 episodes · 1 bullish · 2 bearish · 1 people on the record · first statement Jan 15, 2015 by Hanna Wallach · said 1 times in 1 episodes since 2015 · across every show →

On the record as a speaker too: Hanna Wallach's record, appearances and statements → this page counts the times other people say the name.

Mentions by year

brought up most by Chris Wiggins (1)

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2015 1 mention in 1 episode

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Everything said about Hanna Wallach, oldest first

Jan 15, 2015 negative
Insight
Wallach: Convenience datasets bias analytical models toward demographic majorities
“But the problem with these convenience data sets is that they typically reflect only a particular segment of society. For example, young people with smartphones. And so, as a result, many of the methods developed to analyze these data sets end up prioritizing …”
Hanna Wallach Jan 15, 2015 ▶ 11:04 Hanna Wallach, Microsoft Research // Data Driven #33 // Jan 2015 (Hosted by FirstMark Capital)
Jan 15, 2015 positive
Prediction Not checkable as stated
Wallach: The big data game will be won by asking interesting questions
“Ultimately, the big data game will be won by those who know how to ask and answer interesting questions.”
Hanna Wallach Jan 15, 2015 ▶ 9:23 Hanna Wallach, Microsoft Research // Data Driven #33 // Jan 2015 (Hosted by FirstMark Capital)
Jan 15, 2015 neutral
Prediction Not checkable as stated
Hanna Wallach: Most machine learning methods will be deployed without creator involvement
“It's really likely that most machine learning methods or data science methods will at some point be used by some people, end users, without the involvement of those people who created them.”
Hanna Wallach Jan 15, 2015 ▶ 18:01 Hanna Wallach, Microsoft Research // Data Driven #33 // Jan 2015 (Hosted by FirstMark Capital)
Jan 15, 2015
Insight
Wallach: Addressing algorithmic bias requires focusing on big data's granular nature
“When it comes to addressing issues like bias, fairness, and inclusion, perhaps we should instead be focusing our attention on the granular nature of big data.”
Hanna Wallach Jan 15, 2015 ▶ 7:20 Hanna Wallach, Microsoft Research // Data Driven #33 // Jan 2015 (Hosted by FirstMark Capital)
Jan 15, 2015 negative
Insight
Wallach: Data-first research approaches amplify issues with algorithmic bias and fairness
“Although this is kind of conducive to fast-paced work, these data-first or method-first approaches can actually amplify issues related to bias, fairness, and inclusion of minorities.”
Hanna Wallach Jan 15, 2015 ▶ 10:25 Hanna Wallach, Microsoft Research // Data Driven #33 // Jan 2015 (Hosted by FirstMark Capital)
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