New from me, Gabriel Geiger,
+ Justin-Casimir Braun at Lighthouse Reports.
Amsterdam believed that it could build a #predictiveAI for welfare fraud that would ALSO be fair, unbiased, & a positive case study for #ResponsibleAI. It didn't work.
Our deep dive why: https://www.technologyreview.com/2025/06/11/1118233/amsterdam-fair-welfare-ai-discriminatory-algorithms-failure/
Or just use you AI locally 
I completely understand the concerns about relying too heavily on AI, especially cloud-based, centralized models like ChatGPT. The issues of privacy, energy consumption, and the potential for misuse are very real and valid. However, I believe there's a middle ground that allows us to benefit from the advantages of AI without compromising our values or autonomy.
Instead of rejecting AI outright, we can opt for open-source models that run on local hardware. I've been using local language models (LLMs) on my own hardware. This approach offers several benefits:
- Privacy - By running models locally, we can ensure that our data stays within our control and isn't sent to third-party servers.
- Transparency - Open-source models allow us to understand how the AI works, making it easier to identify and correct biases or errors.
- Customization - Local models can be tailored to our specific needs, whether it's for accessibility, learning, or creative projects.
- Energy Efficiency - Local processing can be more energy-efficient than relying on large, centralized data centers.
- Empowerment - Using AI as a tool to augment our own abilities, rather than replacing them, can help us learn and grow. It's about leveraging technology to enhance our human potential, not diminish it.
For example, I use local LLMs for tasks like proofreading, transcribing audio, and even generating image descriptions. Instead of ChatGPT and Grok, I utilize Jan.ai with Mistral, Llama, OpenCoder, Qwen3, R1, WhisperAI, and Piper. These tools help me be more productive and creative, but they don't replace my own thinking or decision-making.
It's also crucial to advocate for policies and practices that ensure AI is used ethically and responsibly. This includes pushing back against government overreach and corporate misuse, as well as supporting initiatives that promote open-source and accessible technologies.
In conclusion, while it's important to be critical of AI and its potential downsides, I believe that a balanced, thoughtful approach can allow us to harness its benefits without sacrificing our values. Let's choose to be informed, engaged, and proactive in shaping the future of AI.
CC: @Catvalente @audubonballroon
@calsnoboarder @craigduncan
LLMs are starving for knowledge graphs. Raphael Troncy was pointing out that many LLM company crawlers are constantly visiting their KGs. Some crawlers even perform explicit SPARQL queries on the KGs.
@emilymbender & @alex join Intelligent Machines 819 to call out Big Tech's AI promises in their new book The AI Con.
They dive into:
• The danger of "stochastic parrots”
• Tech's exploitation of data
• What the future should look like
https://twit.tv/im/819
#AIethics #ResponsibleAI #StochasticParrots
How Poland is making AI work for government and the public https://www.byteseu.com/960993/ #AIAdoptionPublicSector #AICommunication #AIInGovernment #AIJobSecurity #AIPublicAttitudes #AITrustPoland #DigitalTransformationPoland #EmergingTechPublicServices #HuggingFacePLLuM #OpenSourceAIPoland #PamelaKrzypkowska #PLLuMModel #Poland #PolandAI #PublicSectorAI #ResponsibleAI #SovereignAIModels
The State of AI in 2025: Key Takeaways from Stanford’s Latest AI Index Report https://www.byteseu.com/?p=915504 #2025 #AI #AIAdoption #AIAffordability #AIForScientificDiscovery #AIGovernance. #AIIn2025 #AIInEducation #AIRegulationAndPolicy #AIResearch #AIRisks #ArtificialIntelligence #reports #ResponsibleAI
Joint statement by a coalition of authors, performers and other rightsholders active across the EU’s cultural and creative sectors regarding the third draft of the EU AI Act’s GPAI Code of Practice" https://fep-fee.eu/Rightsholders-joint-statement-on-the-third-draft-of-the-Code-of-Practice #AIAct, #CopyrightCompliance, #GPAICode, #CreativeRights, #EUlaw, #AIPolicy, #ResponsibleAI, #DigitalRights, #AIRegulation, #FairAI
@jeffjarvis
"We need to shape the future; our students today need to be the leaders of the society that will use AI. They need to have a grounding in ethics, history, anthropology, community studies, design, and other disciplines, so that it is not purely about technology. (…) Therefore, we need to equip the next generation with greater skills than just technology."
#AI #Ethics #Education #Technology #Society #Interdisciplinary #ResponsibleAI
https://podcasts.apple.com/podcast/id1589146361?i=1000681466660&r=2241&t=2201
Deadline extension for the SemDH 2025 Int. Workshop on Semantic Digital Humanities has been extended to March 15, 2025!
Submission is open for paper and panel contributions: https://semdh.github.io/
#semanticweb #eswc2025 @eswc_conf #dh #digitalhumanities #culturalheritage @nfdi4culture @NFDI4Memory @nfdi4objects @Textplus @DHd @mldh @DHTheorie #AI #responsibleAI #reproducibleAI #llm @fiz_karlsruhe @fizise
You are an enthusiastic #PhD student, an eager master student planning an academic career, or a professional early #PostDoc and are ready to dive into the latest research on #ResponsibleAI? Then apply at the International #SemanticWeb Research #SummerSchool and work with 60 highly motivated participants under the guidance of world class supervisors one week of intense research in Bertinoro, Italy, from June 8-14, 2025!
https://2025.semanticwebschool.org/
Applications are now open for the 2025 International Semantic Web Research Summer School - #ISWS2025
in Bertinoro, Italy, from June 8-14, 2025
Topic: Knowledge Graphs for Reliable AI
Application Deadline: March 25, 2025
Webpage: https://2025.semanticwebschool.org/
Great keynote speakers: Frank van Harmelen (VU), Natasha Noy (Google), Enrico Motta (KMI)
#semanticweb #knowledgegraphs #AI #generativeAI #responsibleAI #explainableAI #reliableAI @albertmeronyo @AxelPolleres @lysander07
Sophia Falk reveals how AI pressures six of nine critical Earth systems, including freshwater overuse in chip production, habitat destruction from mining, and toxic pollution from hazardous chemicals. Learn why AI’s footprint is more than energy consumption: https://youtu.be/1oPS_HRTUXg
Our next #HCIISeminarSeries guest is David Widder @davidthewid, postdoctoral fellow at Cornell Tech Digital Life Initiative (and
@scsatcmu.bsky.social
alumnus)! Join us.
AI Supply Chains: Tools to Locate Power & Responsibility in AI Production for Critical, Accountable Computing
Friday, January 31
1:30-2:30pm
NSH 1305+livestream
https://hcii.cmu.edu/news/event/2025/01/hcii-seminar-series-david-widder
Don't Use AI in International Development or Humanitarian work until these ten social justice issues have been fixed. My new blog for @IDS_UK #globaldev #humanitarianaid
#ict4d #digitalrights #ResponsibleAI #aiforgood #AI4D https://www.ids.ac.uk/opinions/ten-reasons-not-to-use-ai-for-development-and-ten-routes-to-more-responsible-use/
Can AI shape a better future? #EricandWendySchmidt’s #AI2050 Fellowship is investing in researchers tackling AI's toughest challenges.
I might as well do another #introduction specifically for the #academic side of this here fediverse:
Coming from #theoreticalCS (with applications in #NLP) to doing #digitalhumanities (computational #musicology), I've now landed in #ResponsibleAI. Specifically, I'm interested in exploring #AntiCapitalistAI, both sharpening existing critiques of current AI practise by confronting capital and exploring inherent politics of technologies, and finding better ones for a socialist world.
: A blog post that I wanted to write since two years!
Hello to the #OpenSource community!
With #generativeAI on the rise, how can #OpenSource help in building #responsibleAI ?
All #Developers, #Innovators and #techies are welcome! Join our first #Webinar and register today.
See you soon : https://eu01web.zoom.us/webinar/register/WN_vGz4CYbuS_-g_Rb8fDLCCA
#EOSA #OSAwards #europeanunion #European#commision
How might libraries use machine learning / AI to enrich collections, making them more findable and usable in computational research? Some examples from the British Library https://blogs.bl.uk/digital-scholarship/2024/12/ai-and-machine-learning-etc-with-british-library-collections.html #AI #MachineLearning #AI4LAM #ResponsibleAI
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