AI Now Institute
@AINowInstitute
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The AI Now Institute produces diagnosis and actionable policy research on artificial intelligence.
New York City
Joined March 2017
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NEW: Amidst a frenzy around public AI investment in Europe, our new report takes us back to the drawing board.
What kind of (digital) future does Europe want? What role can (should) AI play? Who should have a say?
Read expert perspectives:
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** Announcement **
Today we launch the AI Now 2018 Report.
It’s been a dramatic year in AI, and more accountability is urgently needed. We share 10 recommendations for industry, governments & academia. Read them here:
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Today we officially launch the
@AINowInstitute
at NYU! Humbled to be the first university research institute focused on the social implications of AI, and thrilled to join so many others working the effort to make AI safe, fair, and accountable.
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📢Call for Submissions/Project Launch alert!
@tetisheri
,
@ambaonadventure
and AI Now are thrilled to launch ‘A New AI Lexicon’ – inviting critical perspectives + new frameworks currently absent from the Western, corporate-dominated AI Ethics discourse. A thread 🧵:
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“Facial recognition technology is disproportionately deployed by those in power to surveil, oppress and police Black and Brown communities, with few guardrails in place to curtail its oppressive and biased use.” AI Now’s
@mer__edith
tells
@OversightDems
during her oral testimony
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🚨NEW REPORT surveys the state of compute, a core dependency in building large-scale AI.
We review the hardware, software, and infrastructure needed for AI––and how the government can regulate for competition rather than concentration.
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Today we launched AI Now’s 2023 Landscape Report. In it, we put forth an actionable policy strategy to confront concentration of power in the tech industry.
Read more:
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Today we release our full report on Algorithmic Impact Assessments, a framework for accountability and oversight of AI + algorithmic decision making in public agencies.
#NYCalgorithms
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“We’re gonna give you a tour of what happened this year” says
@katecrawford
, presenting visualization of data breaches from Cambridge Analytics to Facebook, organizing against Amazon’s Rekognition & Google’s Maven, tool supporting ICE from Palantir, & more.
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There’s a real danger in developing AI policy behind closed doors where industry outnumbers civil rights orgs, unions & critical thinkers.
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📢NEW:
@AINowInstitute
,
@AdaLovelaceInst
and
@opengovpart
partnered on the first global study of the regulations and policy tools governing the use of algorithms in the public sector. (Thread)
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We are delighted to announce that Co-founder Meredith Whittaker (
@mer__edith
) will be leading the Institute as AI Now's newly appointed Faculty Director, alongside Managing Director Mariah Peebles (
@MariahPeebles
).
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*New research* It's time to fix the diversity crisis in AI, & make the connection between workplace discrimination & AI bias. 18% of authors at major AI conferences are women, more than 80% of AI professors are men, & it's much worse for people of color.
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New AI Now research paper: “DIRTY DATA, BAD PREDICTIONS.” First study of its kind to reveal how predictive policing platforms are influenced by data gathered from illegal and discriminatory police practices. By Rashida Richardson
@Lawgeek
@katecrawford
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AI industrial policies increasingly shape the relationship of govts to the AI industry, committing public $ to R&D and procurement.
Today, we publish “AI Nationalism(s)”: an essay collection surveying this consequential wave of global policymaking:
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We’re delighted to announce a new roster of Visiting Scholars joining AI Now to work with us deepening and expanding our research on the social implications of artificial intelligence technologies. Join us in welcoming Lilly Irani, Frank Pasquale and Shazeda Ahmed! ⬇️
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After careful discussion our team decided not to publish a major year-end report. Instead, we're slowing down and reflecting on our work, and how we can best contribute to justice in the midst of a rapidly changing field in 2021. Our full statement here:
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We really appreciate everyone who’s been reading our latest report. We wanted to share the work that inspired us, so we put together a reading playlist: here are some of the greatest hits and deep cuts on gender, race and power in AI.
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The history of AI research shows its failures in domains requiring real-time interaction with open & changing environments. The growing China-US "AI Arms Race" narrative justifies a dangerous national security strategy.
Read our post by Lucy Suchman:
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“They took two years to design an AI automatic résumé scanner and they found that it was so biased against any female applicant that if you even had the word ‘woman’ on your résumé that it went to the bottom of the pile.” -
@katecrawford
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The FTC just banned RiteAid, a major retailer, from using facial recognition for five years based on its harmful and irresponsible use of a system that was set up to fail, and likely to fail Black, Asian, Latino, and women consumers the most.
🧵1/5
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The 2019 AI Now Report is LIVE. It’s our biggest yet, reviewing the last year and how AI is concentrating power in the hands of those who already have it, from the AI management at work, to AI’s impact on climate change and healthcare, and much more
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New TIME feature on the AI Now Institute at NYU, and how
@katecrawford
and
@mer__edith
lead a team of researchers scrutinizing the accountability of AI systems. We go beyond the ethics frame, into the deeper politics of how AI is designed and deployed 👩🔧
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On her entry on ELECTRIC BRAIN (電腦) for 'A New AI Lexicon',
@a_yung_
states "The computer is not, of course, a brain," and asks how the act of naming or categorizing something, and claiming authority over these processes are political acts in themselves:
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Today we proudly launch “Regulating Biometrics: Global approaches and urgent questions,” edited by
@ambaonadventure
, with 8 detailed case studies from experts across the world on existing attempts to regulate
#biometrics
like face & voice recognition.
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We are thrilled to announce details for the AI Now 2018 Symposium! Join us Oct 16, 6pm at NYU’s Skirball Center. This event is free and open to the public. Check out our website for updates and tickets (available soon).
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NYC hasn't provided any examples of automated decision systems (ADS) used by the city, even to members of NYC ADS Task Force. So we did it ourselves. Here's a chart of ADS that NYC is definitely using, and some we believe they might be using.
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Happy to welcome J. Khadijah Abdurahman (
@UpFromTheCracks
) as a 2021-2022 Tech Impact Network Research Fellow. She’ll be working across our international network, collaborating with
@UCLA
’s Center for Critical Internet Inquiry and
@UWALawSchool
's Minderoo Tech & Policy Lab.
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We are thrilled to announce the launch of our Data Genesis program, a long-term research effort dedicated to examining the complex histories, construction, and use of the data that shapes AI.
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AI Now is launching an invited essay series exploring the myths, realities, actors, and incentives underpinning dominant China tech and AI narratives. Read our intro post here:
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Teacher evaluations. Criminal sentencing. School-student matching algorithms. Algorithms ALREADY make decisions that affect New Yorkers: it’s time for accountability. Our recommendations for
#NYCalgorithms
Task Force:
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"Those of us concerned with the implications of AI need to seek out and amplify the people already doing the work and learn the histories of those who’ve led the way." -
@mer__edith
outlines how supporters & partners can push back against harmful AI at
#AINow2019
@VaroonMathur
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Our co-director
@katecrawford
has a call to action in
@nature
today: stop deploying facial recognition in public spaces until there are strong regulatory protections in place.
"Otherwise, this technology will make all of us less free."
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If you didn’t have a chance to attend our
#AINow2019
Symposium, read an excerpt of
@KateCrawford
and
@mer__edith
’s opening remarks on the growing pushback against harmful AI:
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"You cannot have black box systems in core social services," said Kate Crawford.
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Inequality and abuses of power in tech are longstanding problems. As a contribution to the movement working to change this, we're sharing some preliminary findings from our research on gender, race, and power in AI, here:
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[NEW] AI is often compared to snake oil: the FDA played a key role in making medicines safe, effective and ensuring we know how they work. We can learn from where it’s worked - and where it’s fallen short.
Read more here:
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We just filed a joint letter with
@ACLU
@NYCLU
and many others to
@nycmayor
with recommendations for the new
#NYCalgorithms
Task Force. NYC has an amazing opportunity to lead the US, and ensure that public use of AI systems is more fair and just.
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We’re looking for a Research Lead to join our team and oversee our work on Gender, Race, and Power in AI. More info here:
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AI Now stands with
@DAIRinstitute
,
@Mozilla
@algorithmwatch
& a group of 50+ AI experts who agree General Purpose AI carry serious risks and must not be exempt under the EU AI Act. Here's our guidance as the EU prepares to set the tone for regulating AI:
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AI carries bias from the past forward into the future - and makes it much less visible. AI Now postdoc
@sarahbmyers
in an interview on
@PBS
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“Women, people of color, gender minorities, and others are excluded from shaping how AI systems function. And this contributes to bias.” AI Now’s
@mer__edith
tells
@HouseScience
during her oral testimony
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Yesterday,
@sarahbmyers
testified before the Senate Judiciary Committee that the public is being squeezed from both sides by powerful tech firms:
AI policy must confront, not entrench, this concentration.
Read her testimony here:
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“The limits of human oversight of AI do not simply require facilitating better human-algorithm collaborations—instead, they expose tensions around whether algorithms should be involved in certain decisions at all.”
@ambaonadventure
+
@benzevgreen
on
@Slate
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NEW: Tech worker organizing has been one of the most effective means of pushing back on AI-driven harms.
This group at Microsoft joins those at Google and Amazon in a long history of worker led organizing.
Read their revelations here:
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As lobbying around regulating foundation models in the EU AIA intensifies, we underscore this statement signed by 50+ experts arguing general purpose AI–including foundation models–must be regulated across the entire supply chain.
Dear EU policymakers, to get the full picture and complement some of the points Arthur is making, you should know about the following:
1) Most risks of a foundation model (FM) can’t be managed once it is fully developed: very little can be done to correct the safety flaws of a
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The AI Now 2019 Symposium is around the corner! Oct 2, 6pm at NYU's Skirball Center. This year we're focusing on the growing pushback against harmful AI, more info here: . As always it's free and open to the public
#AINow2019
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Knowing where & how algorithms are used by gov't is essential for accountability, and too often difficult to uncover. So we created a toolkit to help advocates get answers:
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AI Now’s Rashida Richardson reports to the Subcommittee on Communications, Technology, Innovation and the Internet that tech companies lack incentives to prioritize societal benefits.
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We’re so proud that
@katecrawford
has been named as one of
@FastCompany
’s Most Creative People 2019 for her groundbreaking research on the social implications of AI! Learn more about Kate's work and view the full list at
#FCMostCreative
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Great overview of what we're building at NYU
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We stand with Dr. Timnit Gebru, and are grateful for her brilliant and tireless work. If you want to show your support, Dr. Gebru's colleagues have drafted this petition:
#IStandWithTimnit
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AI IN 2018: A YEAR IN REVIEW from
@katecrawford
and
@mer__edith
, opening talk from our annual AI Now Symposium on Ethics, Organizing, and Accountability:
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This year we hosted scholars and advocates working at the intersection of disability, bias, and AI. Our new report draws on that workshop & looks at what disability studies & activism can tell us about the risks & possibilities of AI
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After three years of relentless advocacy started by AI Now's
#RashidaRichardson
and advanced by a nationwide coalition of advocates and activists,
@NYCCouncil
just passed the
#POSTAct
.
@NYCMayor
, help us make history and sign the POST Act into law.
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We’re thrilled to share that Dr. Joy Rankin will be joining us as Research Lead for our Gender, Race, and Power in AI program. Welcome to the team
@joymlrankin
!
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We’re excited to officially launch the 'A New AI Lexicon’ project:
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This Thursday Dec 12 we’ll be releasing the annual AI Now 2019 Report, detailing new research on the risks and harms of AI, looking at ways AI is widening inequality and concentrating power in the hands of those who already have it
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Both
@alexhanna
("Things need to appear as autonomous [...] but there’s so much human labor underneath it.”) and
@mer__edith
("the Venn diagram of AI concerns and privacy concerns is a circle.”) pushed back on the AI hype yesterday in SF:
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Videos from the AI Now 2019 Symposium: The Growing Pushback Against Harmful AI are now live on our website! Featuring
@ruha9
,
@NYTWA
,
@veenadubal
,
@marisa_franco
,
@jlynnlord
,
@kldivergence
,
@LSNYCNews
,
@andreachristina
,
@mer__edith
,
@katecrawford
, and more
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We worked with
@antievictionmap
and
@PeoplePowMedia
to launch “Landlord Tech Watch,” a first of its kind crowdsourced map & resource examining the technologies landlords are using to track and surveil tenants & community members. More on the project here:
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Wow, what a massive year - our first as a university institute at NYU. We want to thank you: the people who supported us, shared our research, came to our workshops & symposia, and all who work to address the bigger social and political questions about AI. See you in 2019! ✨📚✊
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AI Now’s Faculty Advisor Lucy Suchman delves into the very real––human––costs of algorithmic warfighting in Gaza, Ukraine and elsewhere in this guest essay on algorithmic ‘target production’.
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Read Lucy's full post here:
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We’re thrilled to welcome
@HeidyKhlaaf
to AI Now, and to engage more deeply in critiques of military AI use.
As our Principal Research Scientist, Heidy researches AI uses in safety-critical systems, with an emphasis on national security use cases.
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“Given the use of AI systems in the targeting of civilians in Gaza, it’s a notable moment to make the decision to remove the words ‘military and warfare’ from OpenAI’s permissible use policy,"
@sarahbmyers
told
@samfbiddle
.
1/3🧵
OpenAI quietly deleted its ban on "military and warfare" applications from its permissible uses policy in a revision this week
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Today we're launching ‘A New AI Lexicon’, a project exploring new language and new definitions anchored in global concerns around concentrated tech power, surveillance and data accumulation, and AI. For the full project call see:
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“As the classifications of humans by AI systems becomes more invasive and complex, their politics become apparent... Forms of measurement easily — but surreptitiously — turn into moral judgments.” Nice article on
#ImageNetRoullette
@nickstatt
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Announcing theme for the AI Now 2018 Symposium: “Ethics, Organizing, and Accountability”
Site live:
Join us on Oct. 16 in NYC, w/speakers Lucy Suchman,
@BrianBrackeen
,
@kevindeliban
,
@Alston_UNSR
,
@Sifill_LDF
,
@PopTechWorks
,
@timnitGebru
, more to come
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Our call for 2019 postdocs is now open! PhDs from across disciplines who are dedicated to researching the social implications of AI are encouraged to apply. Deadline Nov 27, more info here:
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Facial recognition software is capable of locking tenants out of their own homes. At
#AINow2019
, Brooklyn advocates will discuss their work to stop landlords from installing facial recognition entry systems that disproportionately impact low-income communities & people of color.
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In testimony submitted to
@NYCCouncil
,
@sarahbmyers
emphasized the need for accountability and disclosure for the use of AI in hiring. Watch her below, and read the full testimony here
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We’re looking for Graduate Research Assistants – all disciplines welcome! Applications accepted and reviewed on a rolling basis. More info here:
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What kinds of politics are embedded in the training sets for AI?
@kschwabable
’s article gets into the major questions posed in
@trevorpaglen
and
@katecrawford
’s exhibition at
@FondazionePrada
. Good reading!
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Tomorrow at
#SXSW19
there's a featured talk about the politics of training data in AI. Our co-founder
@katecrawford
and our artist fellow
@trevorpaglen
will share their new project - and it's pretty epic.
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Videos from the AI Now 2018 Symposium, looking at Ethics, Organizing, and Accountability are now live on our website and YouTube channel. Watch and share!
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In a new paper
#RashidaRichardson
argues that automated decision systems (ADS) function as prominent modes of governance and social control that warrant public scrutiny & immediate regulation, and she includes a precise definition for them. Read here (1/2)
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Who is human, what is a machine, and who gets to decide where the boundaries lie?
@laura4lano
unsettles the dominant understanding of the human in AI research:
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🔖An important new paper by
@mer__edith
on big tech’s takeover of academic AI research, its implications for our public understanding of AI and how we must push back:
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Great way to end the week: Anatomy of AI by
@katecrawford
@TheCreaturesLab
just got an honorary mention in the Ars Electronica STARTS Prize - grand prize of the European Commission in Technology, Industry, Society and the Arts ✨
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Please welcome our newest members to the AI Now Team!
@ambaonadventure
joins as the Director of Global Strategy and Programs and
@rajiinio
joins as a Tech Fellow, just to name a few. Learn more about our growing team:
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AI’s diversity crisis is not just about women. It’s about gender, race, and most fundamentally power. Read more:
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AI systems draw on past and present to create models of the world that shape our lives. These models encode the inequities and oppressions of our social and political systems. There is no escaping this. How do we address and account for this history?
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SAVE THE DATE: On 12/7, join us for a community-led forum about how NYC agencies are using Automated Decision Systems to make decisions about every major area of New Yorkers’ lives.
#NYCalgorithms
#ADSCommunityForum
:
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Our 2017 Research Report is now live! Includes 10 urgent recommendations for the AI field in high stakes domains.
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Last month we learned the heads of two AI firms have ties to far right organizations. We must ensure these companies are held accountable:
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The NYC ADS Task Force recently released their report on the city’s use of automated decision tools. Today we’re issuing a shadow report detailing how the Task Force failed to engage community in the process and suggestions on how to do better. Read here
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Our call for 2020 postdocs is now open! Diverse PhDs who are interested in researching the social implications of AI across a wide range of disciplines are encouraged to apply. Deadline Nov 19, more info here:
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In recent years governments trialed policies aimed at algorithmic accountability. We’ve partnered w/
@AdaLovelaceInst
+
@opengovpart
on the first global study to map and evaluate this initial wave, based on accounts from those implementing them:
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It's 2021! And some of what
@alexhanna
+
@mer__edith
wrote last week has already begun: "First and foremost, tech workers need a union. Organized workers are a key lever for change, and one of the few forces capable of pushing back against large firms."
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The
@AdaLovelaceInst
is launching Rethinking Data, a program for new data narratives, featuring our very own
@ambaonadventure
and
#RashidaRichardson
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Border patrol & law enforcement are relying on AI systems to target & arrest communities of color. At
#AINow2019
we’ll hear from the
#NoTechForICE
movement & others pushing back against AI’s use in surveillance & policing.
@andreachristina
@marisa_franco
@ruha9
@KLdivergence
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AI workers in Kenya are organizing on multiple fronts, calling attention to how U.S. tech companies like ScaleAI & Meta are undermining labor laws.
Read their letter calling on President Biden to fight for improved pay, conditions, and safety on the job:
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📢
@eileenguo
&
@noori1st
story on Afghan biometric databases now abandoned to the Taliban.
@ambaonadventure
underscores the lesson that the best way to protect the data would be "if these kinds of [data] infrastructures… weren’t built in the first place”
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Many algorithmic systems continue to exhibit bias and errors, yet governments still use them to make life-changing decisions. Our new report with
@RaceNYU
looks at those taking the fight to court—what’s working, what’s not, and where we need to focus next:
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For an entry on CARE, Xiaowei Wang (
@xrw
) explores how we move away from the logic of cure: to care for patients + care workers, we must examine how the political economy of medical AI systems often rely on health inequities to exist in the first place.
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Last week, we published 10 key insights from a rapid deliberation we hosted with experts on an ‘FDA for AI’.
A 🧵with some highlights from our interim memo:
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Save the date for the AI Now 2019 Symposium! Join us Oct 2, 6pm at NYU’s Skirball Center. This event is free and open to the public.
Get on our mailing list to be the first to hear when tickets are released:
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It’s our birthday! 🎉 🎂 AI Now Institute is officially one year old...and what a year it’s been.
Our deepest thanks go out to YOU, our amazing community of researchers, partners, supporters, and friends who make this work possible.
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