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#sts

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🌍 I'll be speaking at the Climate Obstruction in Finance WG on April 24 at 4 pm GMT (11 am EST / 5 pm CET). I'll discuss how financial firms perform accountability for their carbon emissions without truly addressing them. Join us to explore who gets called to account for carbon emissions in finance.
🌱 More: cssn.org/working-groups/climat
🔗 Paper: doi.org/10/br76
#ClimateJustice #Finance #CarbonAccounting #STS #AI #CSSN #ClimateAction #Sustainability @sts

Continued thread

...put the guts of it together yet), but more the idea of making as a social research method.

First, on making, there is already a sociology of objects out there which you will come across in Science and Technology Studies #STS and through Actor-Network Theory etc, but I've always found the approach they tend to take as quite empty, in the sense that while they discuss the social life of objects, they do so conceptually, in an abstract way, purely discursively. Without actually getting hands...

Happy Easter to all who celebrate! 🌱

No cute lambs or bunnies in my files, I'm afraid. I do, however, have a *lot* of queer chickens. This is Hector, a 'hen-cock' pictured in the Sporting Magazine in March 1833 and mentioned by Charles Darwin in his 1868 book The Variation of Animals and Plants under Domestication!

🥚🐥🐔

#Easter #HistSTM #HSTM #histsci #histbio #STS @histstm #histsex #history #histodons @histodons #sex #queer #queerhistory #lgbtq #animals #birds #science #naturalhistory #art

"This paper advances the critical analysis of machine learning by placing it in direct relation with actuarial science as a way to further draw out their shared epistemic politics. The social studies of machine learning—along with work focused on other broad forms of algorithmic assessment, prediction, and scoring—tends to emphasize features of these systems that are decidedly actuarial in nature, and even deeply actuarial in origin. Yet, those technologies are almost never framed as actuarial and then fleshed out in that context or with that connection. Through discussions of the production of ground truth and politics of risk governance, I zero in on the bedrock relations of power-value-knowledge that are fundamental to, and constructed by, these technosciences and their regimes of authority and veracity in society. Analyzing both machine learning and actuarial science in the same frame gives us a unique vantage for understanding and grounding these technologies of governance. I conclude this theoretical analysis by arguing that contrary to their careful public performances of mechanical objectivity these technosciences are postmodern in their practices and politics."

journals.sagepub.com/doi/10.11

"In recent years, critical data studies from the Global South have gained traction, generating debates on power, knowledge production, and the politics of data. While these discussions challenge universalist frameworks, they also risk essentializing the ‘Global South’, requiring a more nuanced approach. This special issue centres Latin America as a site of theoretical, methodological, and empirical inquiry, highlighting its potential to generate new insights into datafication, power, and artificial intelligence. Rather than treating Latin America as a passive recipient of Global North theories, this issue foregrounds its epistemological and methodological contributions to global debates. Engaging with frameworks such as capitalism, coloniality, and dependency theory, the articles explore the region's heterogeneity and intellectual traditions in social sciences, humanities, and science and technology studies. This introduction proposes a research agenda for Latin American critical data studies – one that reflects historical legacies while envisioning possible data futures through interdisciplinary and critical engagement. It interrogates the politics of knowledge production, emphasizing the need for non-extractive, dialogical approaches to studying data in, from, and with Latin America. By centering Latin American scholarship and experiences, this special issue challenges dominant narratives in critical data studies and offers alternative theoretical perspectives that are globally informed yet locally grounded."

journals.sagepub.com/doi/10.11

"We articulate a vision of artificial intelligence (AI) as normal technology. To view AI as normal is not to understate its impact—even transformative, general-purpose technologies such as electricity and the internet are “normal” in our conception. But it is in contrast to both utopian and dystopian visions of the future of AI which have a common tendency to treat it akin to a separate species, a highly autonomous, potentially superintelligent entity.

The statement “AI is normal technology” is three things: a description of current AI, a prediction about the foreseeable future of AI, and a prescription about how we should treat it. We view AI as a tool that we can and should remain in control of, and we argue that this goal does not require drastic policy interventions or technical breakthroughs. We do not think that viewing AI as a humanlike intelligence is currently accurate or useful for understanding its societal impacts, nor is it likely to be in our vision of the future.

The normal technology frame is about the relationship between technology and society. It rejects technological determinism, especially the notion of AI itself as an agent in determining its future. It is guided by lessons from past technological revolutions, such as the slow and uncertain nature of technology adoption and diffusion. It also emphasizes continuity between the past and the future trajectory of AI in terms of societal impact and the role of institutions in shaping this trajectory."

knightcolumbia.org/content/ai-

AI as Normal Technology
Knight First Amendment InstituteAI as Normal Technology
#AI#STS#AIPolicy

Thrilled to announce that on April 21 at 2pm Central CBI Tomash Fellow, Harvard ABD Aaron Gluck-Thaler will be giving an online Tomash Fellow Lecture entitled " Pattern Recognition and Intelligence Reform in Cold War America." Please see link below for registration for this free/public event. #ai #aihistory #artificialintelligence #aipolicy #science #tech #history #sts #sociology #anthro

@histodons
@comm
@sociology
@anthropology
@politicalscience

cse.umn.edu/cbi/events/2025-to

After silicon and neon, I've looked at the industrial processes to produce ultra-pure gold (≥99.99%) mainly for semiconductors industry. As gold bullions mostly need to be 99.99% to be sold as investement, little to no extra footprint or processes to produce ultra-pure gold for semiconductors. Anyway, gold is already one of the most polluting element to extract and refine. On the bright side I keep learning a lot about industrial ecology.

Excellent piece from @zephoria from Tech Policy Press arguing for "interventionism" - a form of pragmatism that seeks to recognise the uncertainty in socio-technical systems while ascribing importance to legal, policy and social mechanisms that counter-balance techno-solutionist narratives.

#STS

techpolicy.press/we-need-an-in

Tech Policy Press · We Need an Interventionist Mindset | TechPolicy.PressTo stabilize and enhance democratic practices, danah boyd advocates for an interventionist approach to AI regulation.