Cedra Trust

Here's an AI hype case study. The paper "The Rapid Adoption of Generative AI" has been making the rounds based on the claim that 40% of US adults are using generative AI. But that includes even someone who asked ChatGPT to write a limerick or something once in the last month. Buried in the paper is the fact that only 0.5% – 3.5% of work hours involved generative AI assistance, translating to 0.125 – 0.875 percentage point increase in labor productivity. Compared to what AI boosters were predicting after ChatGPT was released, this is a glacial pace of adoption. The paper leaves these important measurements out of the abstract, instead emphasizing much less informative once-a-week / once-a-month numbers. It also has a misleading comparison to the pace of PC adoption (20% of people using the PC 3 years after introduction). If someone spent thousands of dollars on a PC, of course they weren't just using it once a month. If we assume that people spent at least an hour a day using their PCs, generative AI adoption is roughly an order of magnitude slower than PC adoption. https://lnkd.in/ePd6eqFx

Another warning for European countries to not use non-native LLM‘s and build LLM‘s that reflect you local cultural norms and principles. This study investigates the ideological diversity among popular large language models (LLMs) by analyzing their moral assessments about a large set of controversial political figures from recent world history. The results show that the ideological stance of an LLM often reflects the worldview of its creators. LLMs prompted in Chinese tend to be more favorable towards figures aligned with Chinese values and policies, while Western LLMs align more with liberal democratic values. Within the group of Western LLMs, there is also an ideological spectrum, with Google's Gemini being particularly supportive of liberal values. Maarten Buyl Alexander Rogiers Sander Noels @iris dominguez-catena Edith Heiter @raphael romero Iman Johary Alexandru Cristian Mara Jefrey Lijffijt Tijl De Bie Ghent University

One of our early experiments in fostering critical thinking online has just earned us the 4D Award!

Mark your calendars, Demà Futur (27th of September) is around the corner! 👀 A few days after the #SummitOfTheFuture at the United Nations, Future Days and Generalitat de Catalunya welcome you to a journey that will inspire and invite you to take action. Morning sessions (in Catalan and English translation) will be inaugurated by a talk from Alfons Cornella on the desirable horizons for Catalonia in 2040 🔮 Relevant voices from the local ecosystem will discuss the key European and global challenges: 🍃Green transition: María Dolores González, Jelena Radjenovic and Emilio Palomares 🩺 Life and health sciences: Manel del Castillo and Núria Gavaldà 📡 Technology for people: Lluis Torner, Montserrat Vendrell, Josep M. (Pep) Martorell In the afternoon, Future Days will host a multilingual participatory lab, in collaboration with IED Barcelona, where a desirable future for Catalonia will be co-created. But we don’t just discuss the future — we shape it. The School of International Futures (SOIF) is supporting the production of a public report outlining the key milestones for the future of Catalonia, with the main insights from the event. 🎟 There are a few spots left - secure your tickets for free (link in the comments) 🎟 Moltes gràcies a totes i tots els que ho heu fet possible! Beth Espinalt, Jordi Vergés, Laia Sancho, dream team 💫 Check the full program below (in Catalan)👇

𝐏𝐮𝐛𝐥𝐢𝐜𝐚𝐭𝐢𝐨𝐧: 𝐂𝐨𝐦𝐩𝐚𝐫𝐚𝐭𝐢𝐯𝐞 𝐫𝐞𝐯𝐢𝐞𝐰 𝐨𝐟 10 𝐅𝐮𝐧𝐝𝐚𝐦𝐞𝐧𝐭𝐚𝐥 𝐑𝐢𝐠𝐡𝐭 𝐈𝐦𝐩𝐚𝐜𝐭 𝐀𝐬𝐬𝐞𝐬𝐬𝐦𝐞𝐧𝐭𝐬 𝐟𝐨𝐫 𝐀𝐈-𝐬𝐲𝐬𝐭𝐞𝐦𝐬 Algorithm Audit has conducted a comparative review of 10 existing FRIAs frameworks, evaluating them against 12 requirements across legal, organizational, technical and social dimensions. Our assessment shows a sharp divide regarding the length and completeness of FRIAs, for instance: 🩺 Many FRIAs have not incorporated legal instruments that address the core of normative decision-making, such as the objective justification test, which is particularly important when users are segmented by an AI-system. 🔢 None of the FRIAs connect accuracy metrics to assessing the conceptual soundness of an AI-systems’ statistical methodology, such as (hyper)parameter sensitivity testing for ML and DL methods, or statistical hypothesis testing for risk assessment methods. 🫴🏽 Besides, the technocratic approach taken by most FRIAs does not empower citizens to meaningfully participate in shaping the technologies that govern them. Stakeholder groups should be more involved in the normative decision that underpin data modelling. Are you a frequent user, or a developer of a FRIA, please reach out to info@algorithmaudit.eu to share insights. Full white paper: https://lnkd.in/dmm-N4RW

Anyone interested?

With OpenAI's release of Strawberry (α1), we're seeing a shift from large pre-training models to scaling inference time compute — a paradigm shift that could reshape how we approach reasoning in AI. As Jim Fan highlights, the focus is now on smarter inference, optimizing tools like browsers and code verifiers, rather than just increasing model size. While this is a major technical leap, it raises important ethical questions: - How do we ensure fairness and transparency in the decision-making processes during inference? - Will this new approach increase or reduce biases within AI systems? - What are the implications for privacy and data security as models continuously learn from inference feedback? #AI #GenerativeAI #ResponsibleAI #Ethics #Compute #Inference #CedraAI

My friend’s job consists of talking to prospects and clients; all day, every day. It’s either in-person meetings or calls. She takes brief notes during the conversation, then she copies them into a gen AI system asking it to rewrite them as full, professionally-worded sentences. Gen AI does its job well on this task. My rough estimate is that gen AI saves my friend some 30mins of work every day. Given that a standard working day in the UK is 7 hours, it’s a 7.14% improvement in efficiency; not bad at all. However – even though sales is a very common job category – a call note summarizer doesn’t exactly sound like an economic game-changer on a planetary scale, which is what McKinsey has been promising us for the past 1.5 years with zeal that is second to none. From the Jun-2023 McKinsey “The economic potential of generative AI” report: “Generative AI’s impact on productivity could add trillions of dollars in value to the global economy. Our latest research estimates that generative AI could add the equivalent of $2.6 trillion to $4.4 trillion annually across the 63 use cases we analyzed”. Within jobs and professions I have worked at to date (compliance advisory, product management, management consulting) the scope for gen AI’s value-add is… limited to none. But what about legal? Coding? Creative? I combined my own professional experiences with some excellent, topical research and practitioners' observations to arrive at some realistic predictions and conclusions - check 'em out. #AI #genAI #McKinsey

Here a quick summary of the main publications of UNESCO on AI in Education: 1. Guidance for generative AI in education and research (Arabic, English, French, Greek, Malay, Portuguese, Russian, Spanish, Turkish) https://lnkd.in/eqdJh2yR 2. AI and education: guidance for policy-makers (Arabic, Chinese, English, French, Korean, Spanish, Russian) https://lnkd.in/gVjWctD 3. K-12 AI curricula: a mapping of government-endorsed AI curricula (Arabic, Chinese, English, French, Portuguese, Spanish, Russian) https://lnkd.in/gEDPiRr8 4. Beijing Consensus on AI and Education (Arabic, Chinese, English, French, Spanish, Russian) https://lnkd.in/g8JGMyF 5. AI in the UAE’s computing, creative design and innovation K-12 curriculum: a case study (Arabic, English) https://lnkd.in/eiBiCfAc 6. AI and inclusion: compendium of promising initiatives 2020 https://lnkd.in/e2F4cP5 7. AI in Education: compendium of Promising Initiatives 2021 https://lnkd.in/ebG3pFy 8. International Conference on AI and Education (2019) Report https://lnkd.in/gnU8VXT 9. International Forum on AI and Education (2020) Report https://lnkd.in/dAJxpUH 10. International Forum on AI and Education (2021) Synthesis Report https://lnkd.in/eTW2Mna8 11. International Forum on AI and Education (2022) Analytical Report https://lnkd.in/eCeC6jRx hashtag #AI hashtag #education hashtag #aied hashtag #aieducation hashtag #generativeai hashtag #policy hashtag #aistrategy hashtag #aiethics hashtag #aiskills hashtag #aiskill hashtag #aicompetency hashtag #ailiteracy hashtag #teachers hashtag #teacher hashtag #students

This is a research briefing on artificial intelligence (AI) published by the UK House of Commons Library on August 20, 2024. It covers: - AI and key terms - UK Government Policy and Regulation - The Use of AI in Different Sectors - AI Safety and Ethics It also provides an extensive set of links to other content. It is well worth reading. Follow MIT FutureTech if you are interested in technological trends and their social implications. #ArtificialIntelligence #Technology #Economics