I research and write about sociodigital futures in, of and for #education, the public sector and #ageing populations building on #STS #DataStudies #ParticipatoryResearch
Professor of Digital Societies @ University of Graz, Austria
Well, I never thought I'd write an article about defence, or with "military" in the title.
Who said only military officers can deal with uncertainty? On the importance of uncertainty in edtech data visualisations. With @juliane
Not #openaccess (they wanted over 4000 EUR, "scandalous", said my library), but some copies here and a preprint is on its way.
https://www.tandfonline.com/eprint/RGATIGJRXCMIUBCJAT8I/full?target=10.1080/01596306.2025.2467365
@juliane Anja Roß just showed me this note to "uncertainty" on the final page ofJulia Stoyanovich and Falaah Arif Khan's “Learning from Data”.
We are AI Comics, Vol 2 (2021)
https://dataresponsibly.github.io/we-are-ai/comics/vol2_en.pdf #criticalAI
at this point i feel like i can pretty accurately predict someone's politics based on their media diet (including youtube and socials). its an indictment on how little we talk politics irl with people outside our own worldviews, and how deeply we absorb political frames from our intimate, personal relationship with screens
New #openaccess book on "Dialogues in Data Power" edited by @juliane and @J0bates 🎊
I contributed to a chapter on “In/visibilities in Data Studies: Methods, Tools, and Interventions”: https://jonathangray.org/2024/10/17/invisibilities-data-studies
‼️JOB ALERT‼️: In unserer Forschungsgruppe „Kommunikative KI: Die Automatisierung gesellschaftlicher Kommunikation“ sind 18 Promotionsstellen auf 4 Jahre ausgeschrieben. #KI #Medien #Kommunikation #ComAI #generativeAI #pioneercommunities #digitalsociocracy #JOB #jobs @zemki @dfg_public @fwf
Nähere Infos hier:
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‼️JOB ALERT‼️: In our research unit "Communicative AI: The Automation of Social Communication" 18 PhD positions for 4 years are advertised. #AI #media #communication #ComAI #generativeAI #pioneercommunities #digitalsociocracy #JOB #jobs @zemki @dfg_public @fwf
More information here: .
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18 PhD positions in new research group about Communicative Artificial Intelligence (ComAI).
Across 10 projects we ask: How does societal communication transform when ComAI becomes part of it?
More information on https://comai.space/
#AcademicJobs #PhDJobs #Chatbots #CriticalAlgorithmStudies #CriticalDataStudies
1. German crime reporter asks MS Copilot what it knows about him.
2. Copilot falsely accuses him of child abuse, fraud, theft.
3. Copilot asserts “it is unfortunate that someone with such a criminal past has a family” and provides his (correct!) address and phone number.
4. Reporter files a libel complaint, but prosecutors refuse to take on the case: it’s not a criminal offense because no person committed it.
Must be great to be a big tech company. https://www.swr.de/swraktuell/baden-wuerttemberg/tuebingen/ki-macht-tuebinger-journalist-zum-kinderschaender-100.html
The first four books on our Amsterdam University Press digital studies series (of which I’m a founding editor) have been published - all #openaccess 🎊📚💜 https://jonathangray.org/2024/07/25/aup-digital-studies
This includes books on the platformisation of consumer culture, algorithmic regimes, feminist futures of work and critical data practices.
Our new book is available open access to download: "Digital Disinformation in Africa". 10 African scholars document & analyse 10 digital disinformation campaigns in 10 African counties. https://www.bloomsburycollections.com/monograph?docid=b-9781350319240
Conference CFP: Rethinking the Inevitability of AI: The Environmental and Social Impacts of Computing in Historical Context
April 22, 2024: 300-500 word paper proposals due
July 18, 2024: Date of online conference
Submit your fabulous work!
https://uva.theopenscholar.com/rethinking-the-inevitability-of-ai/
If you are interested to learn more about this and why we also talk about monsters, this is the link to the open access chapter:
https://doi.org/10.2307/jj.11895528.7
Jarke, J. & Heuer, H. (2024). Reassembling the Black Box of Machine Learning: Of Monsters and the Reversibility of Foldings. In: Jarke, J., Prietl, B., Egbert, S., Boeva, Y., Heuer, H. & Arnold, M. (Eds). Algorithmic Regimes: Methods, Interactions, Politics. Amsterdam University Press, 103-126.
**Results**
There is not just one black box, but at least three different modes of assembling black boxes of machine learning (ML): (1) the black box of ML data, (2) the black box of ML algorithms and trained models, and (3) the black box of ML-based systems in practice.
In conclusion, we reflect on the ways in which particular understandings of ML black boxes afford specific understandings of what kinds of entities, practices and "foldings" need to be researched.
Together with @hen_drik, we wrote a chapter about "Black Boxes of Machine Learning".
**The starting point**
Research on algorithmic fairness, accountability and transparency promotes a view on algorithmic systems as black boxes that need to be “opened” and “unpacked”.
**Our approach**
We analyse what exactly scholars and practitioners aim to unpack when they examine algorithmic black boxes, what they consider to be constitutive elements of these black boxes, and what is “othered“.
* Publication Alert *
To day is the date that our new book ***Algorithmic Regimes: Methods, Interactions and Politics*** is available. It's open access! It was an absolute pleasure to edit. See below for some of the flattering reviews that we have received so far.
https://www.aup.nl/en/book/9789463728485/algorithmic-regimes
Special thanks to @MajaLeee for the fantastic cover illustration.
Just out! Introduction to the „Care-ful Data Studies” special issue of Information, Communication & Society by @irzakhar and @juliane. Much needed theoretical shift from critique to caring in data worlds! https://www.tandfonline.com/doi/full/10.1080/1369118X.2024.2316758
These transformations call (on the other hand) for a regulation of LCDP-based systems in organisations with respect to the quality of the solution, its compliance with the broader legal order as well as ethical design guidelines.
Graz is a beautiful and vibrant student city in the South of Austria. https://www.graztourismus.at/en
Please get in touch if you have any questions.
We will research the transformative role of LCDP-based systems in organisations from two perspectives: On the one hand such systems increasingly regulate the organisation of work, e.g. by reconfiguring roles and responsibilities in organisations, by transforming work characteristics and workers’ perception of autonomy, competence and empowerment and by transforming our understanding of processes of decision-making.
[Sm-AI-R] will focus on the emergence of a new type of design paradigm for AI systems: Low or No Code Development Platforms (LDCP) for AI. LCDPs such as AutoML are a subfield of AI research that subsumes methods to automate all stages of the design and development of AI systems. As such LCDPs aim to reduce tedious and repetitive tasks in the development of AI systems. They promise to make AI more accessible, in particular to professionals without in-depth AI/ML knowledge and expertise.
The University of Graz offers **six PhD-positions** in a newly established research group on Low or No Code Development Platforms. The research group [Sm-AI-R] includes six disciplines business analytics, critical data studies/digital STS, psychology, philosophy, law and ethics all based at the university's high profile area Smart Regulation.
Deadline for application: 21st February 2024
*** PhD in sociology/digital STS/critical data studies: https://jobs.uni-graz.at/en/jobs/2eab5ad6-8dee-df35-9f7a-65a52394f1ab ***
