I'm listening @manuchis explaining what #Datalog startup is Amazing! A #Data startup! #SCEWC25

‼️ #Job Alert! ⚡ We need to cover two developer / research assistant positions urgently! This time we opened two full-time positions for a short period of time to cover specific tasks to contribute to the development of DATALOG Deadline in 9 days! upf.edu/documents/d/enginyer…

Apply to pur special track about Data Intermediaries and Urban Digital Twins!

The European Centre for Algorithmic Transparency in Sevilla has opened a vacancy for an AI expert with a PhD or 2 years of experience. Among the tasks is "developing methodologies to assess the capabilities and systemic risks of general-purpose AI models." algorithmic-transparency.ec.…

💥New paper by @RegAssistProj is a great piece of guidance for anyone looking for examples to tackle the key challenges of #EnergyPoverty: ✍️ how to find people at risk ✍️ how to design public subsidy schemes ✍️ what dedicated services to look for 👀raponline.org/knowledge-cent…

Breaking news: The scooter company, Bird, is up for sale for less than a pre-seed round.

Happy to participate on this discussion! Important advancements for the European Green Deal!

So Apple has introduced a new system called “Private Cloud Compute” that allows your phone to offload complex (typically AI) tasks to specialized secure devices in the cloud. I’m still trying to work out what I think about this. So here’s a thread. 1/

Summer Vibes

📣New! Despite its increasing adoption in AI governance and industry circles, the term “sociotechnical” is widely misunderstood. Our new brief aims to remedy that, explaining what a sociotechnical perspective is and why it’s so important in policy. 1/6 datasociety.net/library/a-so…

#OpenAI is facing another #privacy complaint in the EU. This one, which has been filed by privacy rights nonprofit noyb, targets the inability of its AI chatbot #ChatGPT to correct misinformation it generates about individuals. #AIEthics techcrunch.com/2024/04/28/ch…

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🚨What are Google's Gemini's training data sources? Why are tech companies allowed to hide this information? After digging into Google's various Terms of Service and Privacy Policies, this is what I found: "We process information from publicly accessible sources and your Gemini Apps information so that we can provide, maintain, improve, and develop Google products, services, and machine learning technologies." ➡️Questions: ➵ What publicly accessible sources? ➵ What is Google's approach to "publicly accessible"? ➵ What is included and what is excluded? ➵ What are special precautions taken to protect personally identifiable information? ➡️How is it possible that one of the largest and most valuable tech companies in the world does not have additional information to share about how they train their massive AI systems? ➡️How can we properly scrutinize tech companies and their AI systems if they get away with very low transparency standards? ➡️For those that did not realize, from a legal perspective, tech companies' trick has been the following: ➵ They focus on how they use user input data (the data users input while interacting with the AI system), sometimes allowing users to use the system anonymously, telling users not to input confidential information, and so on; ➵ They make sure to hide the details about the training dataset, including the data sources and the detailed composition of the data used to train their AI systems. ➡️Remember OpenAI's Mira Murati's interview in which she could not specify Sora's training data sources? It's the same lack of transparency. ➡️Why not a mandatory information sheet, easily accessible from the product itself, with the training dataset's sources, compositions, possible biases, and so on? ➡️We must overcome this phase of the "AI economy" and start enforcing stronger transparency obligations on AI companies. - ➡️For the latest info on AI policy & regulation, subscribe to my weekly newsletter.

Quieren usar sistemas de reconocimiento facial para localizar a los estudiantes que se manifiestan contra el genocidio y arruinarles la vida. Otro ejemplo de por qué esta tecnología es tan peligrosa y debería estar prohibida.

A ruthless self-taught dating machine who weaponizes your biodata to whittle down matches, raising concerns over privacy and consent? Congrats, you've invented the Indian mom.

🇪🇺 Tras años de desarrollo y con apoyo de CaixaImpulse Innovación, el exoesqueleto de ABLE Human Motion obtiene luz verde para comercializarse en la UE. Su CEO y cofundador, Alfons Carnicero, nos cuenta cómo está mejorando la rehabilitación de las personas con lesión medular.👇

The top 10 photos from last night’s solar storm & aurora borealis around the world. 1. Netherlands (@albertdrosphoto)

Com fer un consum energètic més responsable? DATALOG, projecte de la UPF i @Ideas_4_Change, ha creat una plataforma per analitzar el consum domèstic (d'aigua, llum o gas) a Barcelona i proposar com optimitzar-lo amb suport de BIT Habitat @BCN_digital 👉tuit.cat/M9m5o

Ayer nos llegó la sentencia de la Audiencia Nacional sobre el acceso a las tripas de BOSCO, el sistema que decide si alguien tiene derecho a recibir el bono social o no nitter.siddz.com/civio/status/178811068… Esto nos provoca varias reacciones 🧵