Here's a close-up of hue and brightness heads in a vision transformer! Work done with tremendous help from Aoyu Wu and
Fernanda Viégas
@viegasf
Human/AI Interaction and data visualization. Professor at Harvard. Co-founder of Google's People+AI Research initiative (PAIR)
fernandaviegas.comJoined February 2009
Fernanda Viégas’s Tweets
Language models have some beautiful spiral plots reflecting positional patterns. And a vision model has heads that arrange images according to brightness and hues. But there’s a lot more to find! What else can you see?
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Visualize transformer attention! ✨
AttentionViz, created by Catherine Yeh and expanded by Yida Chen, helps you explore transformer self-attention by visualizing query and key vectors in a joint embedding.
Paper: arxiv.org/abs/2305.03210
Website: attentionviz.com
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Toasters have blinking lights, cars have speedometers. Should chatbots have dashboards too?
A speculative essay👉 The System Model and the User Model: Exploring AI Dashboard Design
arxiv.org/abs/2305.02469
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Students explore the aesthetics of computing in new computer science course at SEAS. "CS73: Code, Data, and Art" is co-taught by and , and teaches students how to create abstract art and communicate data sets through visualizations. buff.ly/3GXpkTE
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We are conducting a paid user research study (remote) to understand how practitioners are using the People + AI Guidebook. If you have ever used (or tried to use) the PAIR Guidebook in AI/ML projects, please consider signing up.
Sign-up link: forms.gle/uyGHAKWSPseFQk
read image description
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The Wind Map turns 10 today! I'm still mesmerized by the powerful force it depicts. hint.fm/wind
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Ten years ago #OTD, @viegasf and @wattenberg released "wind map." Then came @cambecc's earth.nullschool.net.
My story for Earth Island Journal.
earthisland.org/journal/index.
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Looking for a postdoc position in data visualization, human-centered machine learning, or both? Consider joining our lab at Harvard!
Here’s the official announcement: main.hercjobs.org/jobs/15670780/
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My kids just donated to to support their life changing programs for children in need bit.ly/2j4KYfY
Consider donating this season.
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And for information on the application process, see: seas.harvard.edu/computer-scien
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Thinking about grad school next year? Interested in visualization, human/AI interaction, computational art?
Consider Harvard! and I are building up our lab and will be looking for students.
Our DMs are open.
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"In Texas, they like to buy land, beer" vs
"In New York, they like to buy art, books"
pair.withgoogle.com/explorables/fi
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"Fernanda was born in the year of 1954" vs
"Martin was born in the year of 1750"
At least it thinks I'm younger than ... 😂
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"We went to Brazil because we wanted to escape" vs
"We went to Japan because we wanted to study"
Check out 's language model explorable, showing what models like BERT have learned about the world. #googlePAIR
Type your own queries:
pair.withgoogle.com/explorables/fi
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Hannah Fry does a great job of showing how "humble" graphs such as line charts and scatter plots have changed the world and our understanding of it:
Thanks for the pointer, !
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Are you an academic working in the areas of Participatory ML, Accessibility, Algorithmic Fairness or Higher Education in CS? If so, apply to Google’s Award for Inclusion Research (AIR)!
AIR is an international program 🤩
Application deadline: July 14
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Interested in working with the PAIR team at Google on projects like Know Your Data?
Apply here, we're hiring!
And yes, "full stack": we really care about folks thinking about the intersection between UX / frontend and large scale data munging.
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The PAIR.withGoogle.com team is hiring in Paris - if you are a Research Scientist or Software Engineer with a keen interest in research, look here :)
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Big launch announcement!
All new People + AI Guidebook out today!
Featuring 23 action-oriented AI design patterns created by and for AI product teams. Plus case studies, a customizable workshop, updated guidance, new research, and more!
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We want people from wider backgrounds to have access to ML technologies, so we launched a beta of Know Your Data for Datasets.
We hope for your feedback to make the tool usable not only by ML researchers, but also by PMs, engineers, and other decision makers.
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We are very excited to announce Know Your Data, a tool that we’ve been working on for over a year.
We’ve been using it inside Google and today we're sharing a beta version.
Try it here → knowyourdata.withgoogle.com
Here is a thread with a few features of the tool:
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Announcing Know Your Data - a new tool that helps researchers & engineers:
Better understand datasets
Improve data quality
Mitigate bias issues
71 image datasets via TensorFlow Datasets catalog
Try it for yourself → knowyourdata.withgoogle.com
#KnowYourData #GoogleIO
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Thrilled to see Know Your Data launch! The tool brings a new level of transparency to ML data, code free, allowing a broad set of stakeholders to ask critical questions knowyourdata.withgoogle.com
Creation of and in #googlePAIR; collaboration with team
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Search results that reflect historic inequities can amplify stereotypes and perpetuate under-representation. Carefully measuring diversity can help.
w/
explorable: pair.withgoogle.com/explorables/me
colab: colab.research.google.com/github/PAIR-co
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Honored to become part of the SIGCHI Academy! In awe of the other awardees and thrilled to see such a strong data visualization cohort: and
sigchi.org/awards/sigchi-
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Indeed, this is strange. I'm not sure I understand why the scale progresses the way it does. Thanks for pointing it out!
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Replying to @viegasf and @nytimes
It’s weird that it starts as a linear scale and then switches to something else.
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A good color scale makes a ton of difference.
Up until yesterday, this COVID map showed almost all European countries in red. Today, with an updated color scale, we can see there are major differences.
#DataVisualization
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I’ll be moderating a roster of brilliant speakers:
- Charlotte Lee , University of Washington,
- Annelien Bredenoord , UMC Utrecht & Uni Utrecht; Dutch Senator
- Catherine D'Ignazio , MIT
- Nithya Sambasivan, ,
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Excited to announce the 2020 #PAIRSymposium, on Nov. 18 from London, Boston and Seattle!
events.withgoogle.com/pair-symposium
This year we focus on #BoundaryObjects as a way to broaden the set of stakeholders in #ParticipatoryML.
Set a reminder now at youtube.com/watch?v=GBt18W!
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The next #WiML2020 invited speaker is Fernanda Viégas (), Principal Scientist at and incoming Professor at Harvard and the Radcliffe Institute for Advanced Study.
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I am *so* honored to be ’s newest Alumnae Professor!
Humbled to be in the company of amazing scholars such as , #CynthiaDwork, , to name a few.
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Welcome, @viegasf, our newest Radcliffe Alumnae Professor! twitter.com/hseas/status/1…
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I’m thrilled to announce that, as of January 2022, I’ll be joining Harvard as a professor of computer science, with an affiliation with the business school.
joins in fall 2021! We’ll also continue to work, part-time, at Google and on PAIR.
seas.harvard.edu/news/2020/11/t
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Thank you, to all the doctors who are risking their lives every day to save ours. It breaks my heart that, on top of it all, you still have to deal with lies and insults from a desperate, joke of a politician. #VoteHimOut
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Trump: You know, our doctors get more money if someone dies from COVID
Truth: I took a 20% pay cut due to less patients. Lost 3 colleagues & 27 y.o. cousin. Cried countless times delivering news of deaths to families. I'm doing more for the U.S. than you!
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Science. (It works rather well. Pass it on.)
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Science. (That’s it. That’s the tweet. Pass it on).
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It was a pleasure sitting with and for this interview! Thank you for sharing so many insights about the social complexities that pervade work in data science and data visualization.
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A few months ago, or years ago in Covid time, @kanarinka and I spoke with some of our data visualization heroes, @viegasf and @wattenberg, about #DataFeminism, Covid, and what i means to do responsible data work. Read the full interview here: medium.com/people-ai-rese
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Congratulations ! These visualizations of COVID-19 symptoms search trends are super useful.
pair-code.github.io/covid19_sympto
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made some charts and maps showing how searches for medical information have changed over time
pair-code.github.io/covid19_sympto
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How do you visualize techniques for data collection that help preserve privacy?
Thrilled to see this new #googlePAIR AI Explorable by and --launched today!
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The availability of giant datasets and faster computers is making it harder to collect and study private information without inadvertently violating people’s privacy.
@EllenJiang2 and I took a look at how random numbers can help.
pair.withgoogle.com/explorables/an
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Excited to be speaking at the Bank of England tomorrow! Chief Economist Andy Haldane and I will be talking about data visualization for machine learning.
The webinar is virtual and open to the public.
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Interested in data and AI? Join us on 18 September for an interactive webinar with senior researcher at Google and data visualization expert, Fernanda Viegas. Find out more and register for your place here: b-o-e.uk/32bn3PB
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