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Q&A: Divy Thakkar on Valuing Data in AI for Social Good
Q&A: Divy Thakkar on Valuing Data in AI for Social Good
Divy Thakkar is Google’s Program Manager Lead in University Relations and AI for Social Good, based in India. Divy is an human-centered…
People + AI Research
May 17
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Q&A: Courtney Heldreth and Michal Lahav on Addressing Inequitable Speech Recognition: It takes a…
Q&A: Courtney Heldreth and Michal Lahav on Addressing Inequitable Speech Recognition: It takes a…
Courtney Heldreth and Michal Lahav lead the Equitable ASR program at Google that aims to identify and eradicate biases in voice…
People + AI Research
Mar 8
Q&A: Robin Brewer on Machine Learning & Disabilities
Q&A: Robin Brewer on Machine Learning & Disabilities
Opinions in PAIR Q&As are those of the interviewees, and not necessarily those of Google. In the spirit of participatory ML research, we…
People + AI Research
Jan 26
Q&A: Donald Martin on Community Based System Dynamics and Machine Learning
Q&A: Donald Martin on Community Based System Dynamics and Machine Learning
Donald Martin discusses working with communities to understand complex societal issues and proactively mitigate machine learning bias.
People + AI Research
Oct 12, 2021
KaoKore: Exploring the Intersection of Humanities and ML Research through a Japanese Art Dataset
KaoKore: Exploring the Intersection of Humanities and ML Research through a Japanese Art Dataset
A look at some of the ways machine learning has the potential to enrich humanities research.
People + AI Research
Sep 30, 2021
A snapshot of AI-powered reminiscing in Google Photos
A snapshot of AI-powered reminiscing in Google Photos
Thryn Shapira discusses balancing user control and automation in AI-powered reminiscing features.
People + AI Research
Jun 1, 2021
Meet the redesigned People + AI Guidebook
Meet the redesigned People + AI Guidebook
The second edition of PAIR’s AI design guidance adds action-oriented materials to help product teams put theory into practice.
People + AI Research
May 20, 2021
Know Your Data: a new tool to explore datasets
Know Your Data: a new tool to explore datasets
Designed to help researchers and product teams better understand datasets, improve data quality and mitigate bias issues.
People + AI Research
May 19, 2021
PAIR @ CHI 2021
PAIR @ CHI 2021
A look at PAIR’s papers from CHI 2021. They cover everything from AI’s role in creative endeavors to the human side of data collection.
People + AI Research
May 14, 2021
Just Different Enough: AI Recommendations, Newsfeeds, Jokes, and Civil Society
Just Different Enough: AI Recommendations, Newsfeeds, Jokes, and Civil Society
If “just different enough” were simply a quantitative measure of difference, recommendations would be easy. Alas, it is not.
David Weinberger
Apr 27, 2021
What PAIR is reading — April 2021
What PAIR is reading — April 2021
“What PAIR is reading” is a reading list series compiled by PAIR team members on a rotating basis.
People + AI Research
Apr 13, 2021
LocAI: AI Design for Local Contexts
LocAI: AI Design for Local Contexts
Through new co-creation and speculative design methodologies, the LocAI team explores the role of local context in AI product design.
People + AI Research
Feb 24, 2021
Hashtags and Confidence
Hashtags and Confidence
Will we learn from ML to attach confidence levels to much of what we say? The rise of hashtags gives clues.
David Weinberger
Jan 21, 2021
Q&A: Frens Kroeger on trusted AI ecosystems
Q&A: Frens Kroeger on trusted AI ecosystems
Trust researcher Frens Kroeger talks about the need to move from explainability to trust in AI ecosystems.
People + AI Research
Dec 1, 2020
PAIR Symposium 2020: Recap
PAIR Symposium 2020: Recap
On Wednesday, November 18, PAIR hosted a virtual symposium focused on boundary objects for participatory machine learning.
People + AI Research
Nov 20, 2020
Q&A: Catherine D’Ignazio and Lauren Klein on Data Feminism
Q&A: Catherine D’Ignazio and Lauren Klein on Data Feminism
Catherine D’Ignazio and Lauren Klein spoke with Fernanda Viégas and Martin Wattenberg about their new book, Data Feminism.
People + AI Research
Oct 21, 2020
Confidence everywhere
Confidence everywhere
For machine learning, expressing a lack of confidence can be a sign of strength.
David Weinberger
Oct 16, 2020
Q&A: Ground Truth: Supporting farmers with machine learning
Q&A: Ground Truth: Supporting farmers with machine learning
Google Research’s Courtney Heldreth and Diana Akrong discuss their work on how AI can help improve the lives of farmers in the Global South
People + AI Research
Oct 1, 2020
Making data meaningless so AI can map its meaning
Making data meaningless so AI can map its meaning
By David Weinberger
David Weinberger
Sep 22, 2020
Exploring how randomized response can help collect sensitive information responsibly
Exploring how randomized response can help collect sensitive information responsibly
PAIR’s latest AI Explorable dives into privacy.
Adam Pearce
Sep 17, 2020
Q&A: Spotify’s Mat Budelman on tech empathy
Q&A: Spotify’s Mat Budelman on tech empathy
Mat Budelman is a Senior Product Designer at Spotify, where he works on Spotify’s Personalization team.
People + AI Research
Sep 14, 2020
What PAIR is reading — August 2020
What PAIR is reading — August 2020
Here’s what’s piquing the interest of PAIR folks these days.
People + AI Research
Aug 27, 2020
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