madeleine clare elish (@m_c_elish) 's Twitter Profile
madeleine clare elish

@m_c_elish

anthropologist of AI, automation, and robots; senior research scientist @Google; previously @datasociety; ebay entrepreneur extraordinaire.

ID: 274609987

linkhttp://madeleineclare.com calendar_today30-03-2011 16:42:15

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madeleine clare elish (@m_c_elish) 's Twitter Profile Photo

🌟You really won't want to miss today's #Facct21 plenaries.🌟 Live stream: 2021.facctconference.org/stream-three The inspiring Julia Angwin of the The Markup will keynote. Before that, join Vidushi Marda Sasha Costanza-Chock Cori Crider and @Alixtrot discuss how The Future is Up for Grabs! #FAccT2021

madeleine clare elish (@m_c_elish) 's Twitter Profile Photo

Innovation does not have to mean exploitation -- Cori Crider. On an amazing panel w Vidushi Marda Sasha Costanza-Chock and @Alixtrot discussing how The Future is Up for Grabs! #FAccT21 #FaccT2021 Become a sustaining member of Turkopticon like me + Sasha Costanza-Chock: blog.turkopticon.info/?page_id=758

Emanuel Moss (@mannymoss) 's Twitter Profile Photo

So excited to hear Sasha Costanza-Chock talk about Algorithmic Justice League's CRASH project documenting algorithmic harms in context. Any attempt to govern or bring accountability to algo systems will require constantly revisiting the question: How are algorithms causing harm in the world? #FACCT2021

ACM FAccT (@facctconference) 's Twitter Profile Photo

Nuestra ponente destacada final es Julia Angwin Julia Angwin (The Markup), nos hablará sobre "Algoritmos, Responsabilidad, y Periodismo". La sesión de preguntas y respuestas la entablará junto con Carly Kind Carly Kind (Ada Lovelace Institute)

wells (tweets surpressed) (@wellslucassanto) 's Twitter Profile Photo

Excited for this final keynote! For those outside of the know, Julia Angwin was the journalist who broke the "Machine Bias" article with ProPublica that just about everyone in this field now cites. She also founded The Markup & is the EIC there. Her work has been field-changing.

Deb Raji (@rajiinio) 's Twitter Profile Photo

T'was much fun to be publicity co-chair with Abeba Birhane for ACM FAccT this year! 💕 Thanks madeleine clare elish, William Isaac & Rich Zemel for the opportunity to prove how much we are both extremely online. Also, yes, sorry for the gifs, but this is now part of the official brand guide.

ACM FAccT (@facctconference) 's Twitter Profile Photo

Thanks organizers, volunteers, attendees, authors, participants & more-everyone that made the conference lively, welcoming & educational. Thank you all for your contributions to this community & supporting the path towards a technological future that is inclusive & just. #facct21

Emanuel Moss (@mannymoss) 's Twitter Profile Photo

How do impact assessments produce accountability in the public interest? We draw lessons from environmental, human rights, privacy impact assessments, etc for algorithmic impact assessment (w/ Jacob Metcalf 🐀 Elizabeth Anne Watkins, PhD Ranjit Singh and madeleine clare elish) x.com/datasociety/st…

Emanuel Moss (@mannymoss) 's Twitter Profile Photo

New work from all of us at the AI on the Ground Initiative Data & Society out now on Assembling Accountability: Algorithmic Impact Assessment in the Public Interest s/o to coauthors Jacob Metcalf 🐀 Elizabeth Anne Watkins, PhD Ranjit Singh and madeleine clare elish datasociety.net/library/assemb…

Jacob Metcalf 🐀 (@undersequoias) 's Twitter Profile Photo

At long last, we are thrilled to share this new report, "Assembling Accountability: Algorithmic Impact Assessment for the Public Interest" with everyone. A lot of wonderful collaborative work went into this project and it will shape the AIGI team's efforts for the next few years.

Jacob Metcalf 🐀 (@undersequoias) 's Twitter Profile Photo

Thus, we argue that the major potential failure point of any AIA process/regulation is that the methods used to construct "impacts" could be too far removed from actual, lived harms of people subject to these systems. points.datasociety.net/assembling-acc…

Data & Society (@datasociety) 's Twitter Profile Photo

"It is critically important that the methods & measurements of auditing & algorithmic impact assessment are not crafted by industry alone." -Emanuel Moss, Ranjit Singh, Elizabeth Anne Watkins, PhD, Jacob Metcalf 🐀 points.datasociety.net/assembling-acc…

Emanuel Moss (@mannymoss) 's Twitter Profile Photo

New Data & Society Points blog post also out today to accompany Assembling Accountability Report! Algorithmic impact assessments should leverage diverse expertise & complex histories: points.datasociety.net/assembling-acc…

madeleine clare elish (@m_c_elish) 's Twitter Profile Photo

TL;DR "Algorithmic Impact Assessments" won't automatically or even easily establish effective governance or accountability. Here's a framework to think through what needs to be in place and who needs to be involved.

Jacob Metcalf 🐀 (@undersequoias) 's Twitter Profile Photo

I would like to take a moment to give a shoutout to AIGI teammate Emanuel Moss for his stellar work as the first author on our new report, Assembling Accountability. Manny’s scholarship is the core of this report—extra impressive considering he’s also writing a dissertation.

@timnitGebru (@dair-community.social/bsky.social) (@timnitgebru) 's Twitter Profile Photo

I love how today has been reclaimed as a day of celebration :) Thank you all for your support. I'm gonna write a thread right after this talk at Women in AI Ethics™ This is what I plan to be working on for a while: dair-institute.org, which you can also follow Distributed AI Research Institute is on Mastodon