Three Questions on AI and Innovation for Tawnya Means

"A conversation with the assistant dean for educational innovation at the Gies College of Business, University of Illinois at Urbana-Champaign."

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Qu'est-ce qu'un agent d'intelligence artificielle ? | IBM

"Un agent d’intelligence artificielle (IA) désigne un système ou un programme capable d’exécuter des tâches de manière autonome pour le compte d’un utilisateur ou d’un autre système, en concevant son workflow et en utilisant les outils disponibles."

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Cinq enjeux d’évaluation face à l’émergence des I… – Mesure et évaluation en éducation

"Depuis novembre 2022, les acteurs de l’éducation s’émeuvent de l’apparition de services informatiques qui permettent de générer des textes, des images ou des sons en une simple requête. Ces programmes désignés sous le nom d’intelligences artificielles génératives font l’objet d’une forte médiatisation. En évaluation, de nouveaux enjeux apparaissent : 1) Sait-on déterminer les compétences à évaluer chez les élèves, utilisateurs potentiels de ces technologies ? 2) Sait-on faire la différence entre production humaine et machinique  ? 3) Peut-on évaluer, sur le fond, des productions qui pratiquent l’illusion de la forme ? 4) Comment évaluer la dimension authentique d’une production d’élève ? 5) Sait-on évaluer les potentialités éducatives de ces technologies ? Relever ces cinq enjeux suppose une sensibilisation des enseignants et des formateurs à la pratique d’une évaluation éthique et formative apte à tirer parti de ces technologies pour préparer les élèves à des technologies qui seront bientôt banales à l’école."

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University Unraveled

"What follows is not a prediction, but an exploration, a journey through how higher education might transform if such a dramatic leap in AI capability materialises. The university of 2030 may bear only passing resemblance to the institution we know today, its transformation touching every aspect from pedagogy to purpose."

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"Today is the motion to dismiss hearing for Garcia v Character Technologies Inc. Folks might remember the lawsuit against Character AI, which was filed last year, in which Megan Garcia’s 14-year-old son, Sewell Setzer, tragically died after interacting with Character AI’s bots.

Now, Character.AI is asking the court to dismiss the case against it, arguing that the outputs from its chatbot are protected speech under the First Amendment. We’ve seen tech companies use the First Amendment as a liability shield when it comes to social media, but this time it’s a little bit different."

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Les grandes IA et les hallucinations – Mon Carnet

"Le plus récent classement Phare LLM Benchmark de Giskard, dévoilé en avril 2025, offre un panorama comparatif des modèles d’IA générative selon des critères cruciaux liés à la sécurité : résistance aux hallucinations, gestion des contenus nuisibles et biais, entre autres. L’objectif de cette évaluation multilingue est simple : identifier les modèles de langage les plus fiables et responsables, dans un contexte où leur déploiement massif soulève de nombreuses questions éthiques et sociales."

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Hugging Face releases a free Operator-like agentic AI tool

"Hugging Face’s agent, called Open Computer Agent, is accessible via the web and can use a Linux virtual machine preloaded with several applications, including Firefox. Similar to OpenAI’s Operator, you can prompt Open Computer Agent to complete a task — say, “Use Google Maps to find the Hugging Face HQ in Paris” — and sit back as the agent opens the necessary programs and figures out the required steps."

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Filtered for time and false memory (Interconnected)

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What's the carbon footprint of using ChatGPT?

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‘A rather stupid but always available brainstorming partner’: Use and understanding of Generative AI by UK postgraduate researchers

Research into the increased use of Generative AI in Higher Education has largely focused on undergraduate study. While many institutions are grappling with the implications for doctoral level, there has been little published work investigating how postgraduate researchers use the technology or their attitudes towards it. This paper is based on a survey of 75 doctoral candidates across 19 UK Higher Education Institutions. The results show that most respondents had used Generative AI for their doctoral research, with the most common uses being framed as time-saver, editor or colleague. There was an awareness of limitations and ethical issues connected to the use of AI but no agreement as to where those boundaries lie. The paper concludes that there is an urgent need for sector agreement and communication on acceptable use and best practice.

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