grew up in a theater. wandering through the borderlands of data, critical theory, politics, power, culture, democracy &&&. phd in progress @ ASU.

Joined January 2011
"The challenge of 'keeping up' with digital transformation is not 'to integrate these tools as rapidly as possible'; it's to secure the core integrity of professionals’ responsibilities in a rapidly digitizing world" cigionline.org/publications/… @seanmmcdonald @bengansky
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Ben Gansky retweeted
Bridging the gap between digitally transformed professional practice and professional governance will require training new professionals to do so. @seanmmcdonald and @bengansky explore the role of professional education programs to address this. Details:cigionline.org/publications/…
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Looking for accounts of how Google changed intra-org comms and other infrastructure in response to Maven protests and 2018 walkout campaign... (referenced but not detailed in this LOGIC interview, for instance: logicmag.io/distribution/now…)... @mer__edith @bentarnoff help me out 🙏?
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the frauds who claim that this is a credible threat are charlatans the billionaires who fund their work are robber barons the institutions that give them titles and honors are money-laundering schemes the government officials who parrot this bullshit back out are useful idiots
Mitigating the risk of extinction from AI should be a global priority. And Europe should lead the way, building a new global AI framework built on three pillars: guardrails, governance and guiding innovation ↓
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This is the same Scale AI that is involved in the recent US announcement of taking "New Actions to Promote Responsible AI Innovation that Protects Americans’ Rights and Safety". whitehouse.gov/briefing-room…
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"Rights groups and labor researchers say Scale AI is among a number of American AI companies that have not abided by basic labor standards for their workers abroad." washingtonpost.com/world/202…
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📢NEW PAPER! Where @davidthewid, @sarahbmyers & I unpack what Open Source AI even is. We find that the terms ‘open’ & ‘open source’ are often more marketing than technical descriptor, and that even the most 'open' systems don't alone democratize AI 1/ papers.ssrn.com/sol3/papers.…
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Deeply disturbing insights from @algorithmwatch's newsletter: The C4 data set, which is used to train large language models such as ChatGPT, is extremely biased towards seeing AI as a super-intelligence over what it is - (part of) a socio-technical system.
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Fascinating to note that a new imaginary in tech global governance architecture— from information environment (mis/disinformation) to AI — is to “borrow” from scientific bodies. Three major ones thrown out are CERN, IAEA and IPCC. /1
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You really, really should not be relying on AI detectors for classroom use. This new paper shows that not only are they very easy to defeat by just prompting a couple of times, but they have insane false-positive rates against non-native English speakers. arxiv.org/abs/2304.02819
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I strongly agree w concerns about the concentration of AI power, but disagree that open source AI provides respite. In many respects increased corporate control has happened not in spite of OSS but through capturing it. More soon on this from @davidthewid @mer__edith and me.
We should work to avoid a similar single point of failure through concentration of AI power with the same cloud companies. Open source AI can help with that...
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Ben Gansky retweeted
this kind of smart, walkable, mixed-use urbanism is illegal to build in most american cities
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Machine learning is no excuse to break the law. Today's settlement on Amazon Alexa should set off alarms for parents across the country - and is a warning for every AI company sprinting to acquire more and more data. My full statement with @LinaKhanFTC and @RKSlaughterFTC:
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This (!) is the AI conversation we should be having: irresponsible public sector automation. New ⁦@hrw⁩ report by ⁦@AmosToh⁩ examines how algorithms financed by the #WorldBank 🌐 to deliver social assistance are arbitrary and unfair 1/2 hrw.org/news/2023/06/13/worl…
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Some background in case you're wondering what this is all about: Indirect prompt injection is when an LLM is asked to analyze some text on the web and instead starts to take instructions from that text. Right now there's no good way to defend against it! greshake.github.io/
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I keep thinking about the early days of the mainstream Internet, when worms caused massive data loss every few weeks. It took decades of infosec research, development, and culture change to get out of that mess. Now we're building an Internet of hackable, wormable LLM agents.
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Let's be clear: $1.8b for "AI" translates to ~$1.8b handed to Big Tech companies to license infrastructure, data, and APIs. AI is a corporate technology. This is a subsidy to the richest companies in the world, justified via rewarmed cold war imaginaries.
DOD is asking for $1.8bn for AI for 2024. Kathleen Hicks, deputy US defense secretary, tells Bloomberg such funding “will probably grow over time as we incorporate the technology effectively into how we operate.” Story with @annaedge4 here bloomberg.com/news/articles/…
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