In the final review in #DATAWORLDS, the first issue of #CRITICALAI, Josh Simons & Eli Frankel review @ruha9's VIRAL JUSTICE. Find the review here:

https://read.dukeupress.edu/critical-ai/article/doi/10.1215/2834703X-10734977/382457/Viral-Justice-How-We-Grow-the-World-We-Want-by

As we continue reprise of the reviews in #DATAWORLDS, the first issue of #CRITICALAI, we're pleased to share France Winddance Twine on David Nemer's TECHNOLOGY OF THE OPPRESSED.

https://read.dukeupress.edu/critical-ai/article/doi/10.1215/2834703X-10734116/382453/Technology-of-the-Oppressed-Inequity-and-the

As we continue to share book reviews from #DataWorlds, the first issue of #CRITICALAI, we're please to post James Smithie's in-depth review of Wendy Chung's #DiscriminatingData, linked below: https://read.dukeupress.edu/critical-ai/article/doi/10.1215/2834703X-10734106/382459/Discriminating-Data-Correlation-Neighborhoods-and

Looking for more about #DataWorlds? See our thread here: https://mastodon.social/@CriticalAI/111336417732738589

#CriticalAIStudies #AI #CriticalAILiteracy

We're excited to present @[email protected] review of Elaine Hunt's ARTIFICIAL LIFE AFTER FRANKENSTEIN, our next featured book review from #DataWorlds, the first issue of #CRITICALAI. Read it now here:

https://read.dukeupress.edu/critical-ai/article/doi/10.1215/2834703X-10734096/382461/Artificial-Life-after-Frankenstein-by-Eileen-Hunt?searchresult=1

#CriticalAI #CriticalAI #criticalAIstudies #AmReading

As we move from essays to book reviews, next up in #DataWorlds is literary critic Heather Love's review of Cathy O’Neil's recent book on SHAME.

Enjoy the great read!

https://read.dukeupress.edu/critical-ai/article/doi/10.1215/2834703X-10734086/382454/The-Shame-Machine-Who-Profits-in-the-New-Age-of

The next essay in our #DATAWORLDS series of essays is artist @samlavigne 's #scrapism #manifesto which turns the logic of HTML on its head for an inspiration vision of what "data" can be and do.

https://read.dukeupress.edu/critical-ai/article/doi/10.1215/2834703X-10734076/382462/How-to-Make-AI-Intelligent-or-The-Question-of…

Next up in #CriticalAI's #DATAWORLDS's issue: eminent cultural theorist Christopher Newfield takes up diverse iterations of the "2 cultures" divide to argue for epistemic equality b/w social & STEM knowledge. Brian Cantwell Smith's theorization of ML helps do so.

https://read.dukeupress.edu/critical-ai/article/doi/10.1215/2834703X-10734076/382462/How-to-Make-AI-Intelligent-or-The-Question-of

Next up in our series of posts on the inaugural #CriticalAI issue, #DATAWORLDS.

Anthropologist @cazaschuster and data scientist Kristen Schuster argue for multisensory & "thick" alternatives to critiques of neoliberal data capitalism that center on what markets "see."

The next in our continuing series of posts on the inaugural #CriticalAI issue, #DATAWORLDS. Here Katrina Sluis & Nicolas Malave write on machine vision's "photographic" pipeline: from ImageNet to LIMs.

https://read.dukeupress.edu/critical-ai/article/doi/10.1215/2834703X-10734066/382465/The-Photographic-Pipeline-of-Machine-Vision-or