In the final instalment of this edition of the Talent Aperture Series, I continue the case that hiring isn't procurement—it's stewardship—and explore:
How we reclaim human judgement in hiring
Why blind recruitment and contextual interviews are gaining ground
What good decision-making really demands in a world drunk on metrics.
The English edition of my latest book is now available!
“Artificial Intelligence, Neural Networks and Privacy: Striking a Balance between Innovation, Knowledge, and Ethics in the Digital Age”
With forewords by Danilo Mandic and Carlo Morabito, and an introduction by Guido Scorza, this edition offers a comprehensive, multidisciplinary perspective.
More details: https://www.nicfab.eu/en/pages/bookai/
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
In an interview (in German/dubbed) for ARD’s Weltspiegel (23.03.2025), Prof. Aimee van Wynsberghe highlights how AI systems, while transformative, consume vast amounts of energy and resources like water. This raises vital questions about sustainability, ethics, and environmental impact. It’s crucial to address these issues in research and public debates.
@Researchbuzz I am liking how #BlueSky is handling its AI approach. Unlike the old bird site, allowing users to provide consent builds trust in their #socialmedia platform. #AI #ML #Tech #socialmedia #responsibleAI
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!
The Open Data Institute in London (@ODIHQ) is a beneficiary of the @protonprivacy Lifetime Fundraiser 2024 
By entering Proton’s raffle you will support a good Data Infrastructure - the bedrock of AI - that’s what the ODI exists to create #ResponsibleAI
Having taken on the governance of the #SolidProject, the ODI will help make sure your personal data is used by you, for YOU.
The EU published a draft Code of Practice for general-purpose AI under the #EUAIAct. 
The code sets out guidelines for transparency, risk assessment, and mitigation for powerful AI models.
Get involved: Feedback open until Nov 28!
Call for abstracts!
Prof. Aimee van Wynsberghe, Director of the Institute for Science and Ethics and the Bonn Sustainable AI Lab, is excited to announce the third Sustainable AI Conference, happening from September 16 to 18, 2025, in Bonn. Find more information here:
https://www.youtube.com/watch?v=OkKGtaKpSeI
“Experience approaching #ResponsibleAI as a #sociotechnical challenge rather than a purely technical one.”
https://jobs.careers.microsoft.com/global/en/job/1706119/Director%2C-Responsible-AI-Measurement
justice, equity and sustainability are words understood by the head of sales or Chief Revenue Officer…his eyes have already glazed over
#AI enables acceleration to replace humans with machines.
@alex and @emilymbender are working on clarifying that: #TheAICon.
@estelle already has food for thought: https://techhub.social/@estelle/111811330219400218
Azure OpenAI Service On Your Data is now generally available!
The groundbreaking feature empowers you to leverage the power of OpenAI models such as GPT-4 & incorporates the advanced capabilities of RAG (Retrieval Augmented Generation) model, directly on your data w/ enterprise-grade security on Azure.
RELEASE: “On Your Data” is now generally available in Azure OpenAI Service
https://kurtsh.com/2024/02/21/release-on-your-data-is-now-generally-available-in-azure-openai-service/
"On Your Data" is now Generally Available in Azure OpenAI Service
https://techcommunity.microsoft.com/t5/ai-azure-ai-services-blog/on-your-data-is-now-generally-available-in-azure-openai-service/ba-p/4059514
This week I quit my #PublicSector role
It's been a very long time coming
It was the gibberish and #hype around #AI that finally did for me
On top of the myopic pursuit of #growth and worrying about #CompetitiveAdvantage (in a world on the edge of collapse)
And the lack of recognition, ever, that their entire #GeoAI programme came out of my work - the #research that I initiated and the team that I trained
And that that work, and the amazing, but tiny, teams now working on it, remain under-resourced and locked into a predatory platform provider
And the financial disadvantage of being in a role that is intended to work to longer than annual horizons in an organisation that cannot retain even a Teams message for longer than 6 months
I do see recent potential that all that could change but I no longer have the stamina to see those changes through
My last act, with two of my gorgeous colleagues, was to draft a #ResponsibleAI charter - it needs a lot of work but there was a glimmer of hope in the way it was received
My heart and spirit are broken, but I feel flutters of excitement about what lies ahead
This week I quit my #PublicSector role
It's been a very long time coming
It was the gibberish and #hype around #AI that finally did for me
On top of the myopic pursuit of #growth and worrying about #CompetitiveAdvantage (in a world on the edge of collapse)
And the lack of recognition, ever, that their entire #GeoAI programme came out of my work - the #research that I initiated and the team that I trained
And that that work, and the amazing, but tiny, teams now working on it, remain under-resourced and locked into a predatory platform provider
And the financial disadvantage of being in a role that is intended to work to longer than annual horizons in an organisation that cannot retain even a Teams message for longer than 6 months
I do see recent potential that all that could change but I no longer have the stamina to see those changes through
My last act, with two of my gorgeous colleagues, was to draft a #ResponsibleAI charter - it needs a lot of work but there was a glimmer of hope in the way it was received
My heart and spirit are broken, but I feel flutters of excitement about what lies ahead
Watch here: 
