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A guide to computational thinking education, with a focus on artificial intelligence literacy and the integration of computing and physical objects.
Computing has become an essential part of today's primary and secondary school curricula. In recent years, K–12 computer education has shifted from computer science itself to the broader perspective of computational thinking (CT), which is less about technology than a way of thinking and solving problems—“a fundamental skill for everyone, not just computer scientists,” in the words of Jeanette Wing, author of a foundational article on CT. This volume introduces a variety of approaches to CT in K–12 education, offering a wide range of international perspectives that focus on artificial intelligence (AI) literacy and the integration of computing and physical objects. The book first offers an overview of CT and its importance in K–12 education, covering such topics as the rationale for teaching CT; programming as a general problem-solving skill; and the “phenomenon-based learning” approach. It then addresses the educational implications of the explosion in AI research, discussing, among other things, the importance of teaching children to be conscientious designers and consumers of AI. Finally, the book examines the increasing influence of physical devices in CT education, considering the learning opportunities offered by robotics. Contributors Harold Abelson, Cynthia Breazeal, Karen Brennan, Michael E. Caspersen, Christian Dindler, Daniella DiPaola, Nardie Fanchamps, Christina Gardner-McCune, Mark Guzdial, Kai Hakkarainen, Fredrik Heintz, Paul Hennissen, H. Ulrich Hoppe, Ole Sejer Iversen, Siu-Cheung Kong, Wai-Ying Kwok, Sven Manske, Jesús Moreno-León, Blakeley H. Payne, Sini Riikonen, Gregorio Robles, Marcos Román-González, Pirita Seitamaa-Hakkarainen, Ju-Ling Shih, Pasi Silander, Lou Slangen, Rachel Charlotte Smith, Marcus Specht, Florence R. Sullivan, David S. Touretzky |
The EU has moved to regulate machine learning. What does this new law mean for data scientists?
The EU AI Act just passed the European Parliament. You might think, “I’m not in the EU, whatever,” but trust me, this is actually more important to data scientists and individuals around the world than you might think. The EU AI Act is a major move to regulate and manage the use of certain machine learning models in the EU or that affect EU citizens, and it contains some strict rules and serious penalties for violation. This law has a lot of discussion about risk, and this means risk to the health, safety, and fundamental rights of EU citizens. It’s not just the risk of some kind of theoretical AI apocalypse, it’s about the day to day risk that real people’s lives are made worse in some way by the model you’re building or the product you’re selling. If you’re familiar with many debates about AI ethics today, this should sound familiar. Embedded discrimination and violation of people’s rights, as well as harm to people’s health and safety, are serious issues facing the current crop of AI products and companies, and this law is the EU’s first effort to protect people. |
Johan Falk är undervisningsråd och gruppledare för AI på Skolverket. Han har tidigare jobbat som mattelärare och som ansvarig över matematikundervisning på nationell nivå. Utöver detta är han föreläsare och har dessutom skrivit två böcker om AI. På vilket sätt påverkar den nya AI-tekniken undervisningen idag? Hur ser lärare och elever på AI? Hur kan AI användas som ett verktyg i skolan? Johans bok "AI för Nybörjare": https://t.ly/n0JcE (00:00) - Introduktion (00:54) - Välkommen! (03:43) - Hur Johan blev gruppledare för AI inom utbildning (05:04) - Frågorna om hur AI ska implementeras i skolan (07:08) - Lärarnas syn på AI och risker (09:21) - Saker att tänka på och varför AI är som en miniräknare för språk (13:06) - Kan AI öppna dörrarna för nya form av inlärning: Algoritmisk -och microinlärning (17:02) - Johan Falks böcker: AI för nybörjare och AI i skolan (19:13) - ChatGPT för barn: Lära sig nya ämnen, interaktiva sagor, historiska soloäventyr (21:56) - Möjlighet till individuell undervisning med AI (24:10) - Hur försiktiga ska vi vara med att använda AI i utbildning? (32:32) - AI-dilemmat: Första prompten till en superintelligens! (38:02) - Hur kan vi använda AI för att leda oss mot en ljusare framtid? (40:18) - Avslutning En AI till Kaffet - Våra Kanaler Hemsida: https://linktr.ee/enaitillkaffet Instagram: https://www.instagram.com/enaitillkaffet LinkedIn: https://www.linkedin.com/company/savantic Savantics Hemsida: https://www.savantic.se/ Apple Podcasts: https://podcasts.apple.com/us/podcast/en-ai-till-kaffet/id1706391795?uo=4 Spotify: https://open.spotify.com/show/7fgcJR0gDwOOT57ys3xATI YouTube: https://youtube.com/playlist?list=PLQVG3fdQDT607rDISH_O_xggFyuSCk2Kw&si=Z9t84zbnQ8fazCQx Google Podcasts: https://podcasts.google.com/feed/aHR0cHM6Ly9mZWVkcy5idXp6c3Byb3V0LmNvbS8yMjQ0NDMxLnJzcw== RSS: https://anchor.fm/s/e8efeb7c/podcast/rss #podcast #AI #EnAItillKaffet #ArtificiellIntelligens #Savantic #ChatGPT #skola #undervisning #lärare #AIiUtbildning #Skolinnovation #DigitalPedagogik #FramtidensSkola #AIEtik #Lärarutbildning #ElevcentreradLärande #TeknikISkolan #AIochIntegritet #Undervisningsmetoder #PedagogiskAI #AnsvarsfullAI #SkolansFramtid #AIIFöreläsningar #UtbildningsTeknik #Skolverket #DigitalTransformation #EdTech #AIochUtbildning #LärandeOchTeknologi
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Artificial intelligence (AI) once seemed like the stuff of science fiction. Find out how it is now being leveraged by business leaders across the globe.
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GoodWishes.ai is a comprehensive and innovative platform that revolutionizes the way we express our sentiments and celebrations through wishes. As an AI-powered tool, it offers an extensive range of wishes tailored for various occasions, ensuring heartfelt and personalized messages every time.
One of the standout features of GoodWishes.ai is its versatility. Whether it's a birthday, anniversary, new job, or simply a good morning greeting, the platform covers an extensive array of occasions. This inclusivity ensures that users can find the perfect message for any event, eliminating the stress of crafting the ideal sentiment from scratch. The AI technology behind GoodWishes.ai is truly impressive. Through advanced natural language processing algorithms, the platform generates authentic and meaningful wishes that resonate with both the sender and recipient. Users can simply input basic details about the occasion and any specific preferences they have, and the AI does the rest, crafting thoughtful messages in moments. Beyond text-based wishes, GoodWishes.ai goes above and beyond by offering multimedia options. From images and animated GIFs to even personalized movies, the platform transforms ordinary wishes into unforgettable experiences. This multimedia aspect adds depth and creativity to the messages, making them truly memorable for the recipient. The user experience of GoodWishes.ai is intuitive and user-friendly. Navigating the platform is a breeze, thanks to its clean layout and straightforward interface. Users can easily browse through different categories of wishes, search for specific themes, or customize their messages according to their preferences. The seamless experience ensures that users can quickly find and send the perfect wish without any hassle. Additionally, GoodWishes.ai prioritizes privacy and security, ensuring that users' data and messages are kept confidential at all times. This commitment to privacy adds an extra layer of trust and reliability to the platform, making it a preferred choice for users who value their privacy. In conclusion, GoodWishes.ai is a game-changer in the realm of digital greetings and well-wishes. With its AI-powered technology, extensive range of occasions, multimedia options, and user-friendly interface, it offers a comprehensive solution for anyone looking to express their sentiments in a meaningful and personalized way. Whether it's a simple good morning message or a heartfelt anniversary wish, GoodWishes.ai delivers the perfect sentiment every time. |
If 2023 was generative AI’s breakout year, 2024 is shaping up to be the year for generative AI to prove its value. Which industries are poised to benefit most from the rapidly developing technology? This collection of insights from McKinsey’s Rodney Zemmel, Matt Fitzpatrick, Delphine Nain Zurkiya, and many others, dives into perspectives across industries, including energy and materials, real estate, life sciences, high tech, and banking. For more on how organizations can most effectively and responsibly use generative AI to create business value, check out QuantumBlack, McKinsey’s AI arm.
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Every one needs a coach. Sports professionals rely on their coaches to guide their technical, tactical and physical guidance. Even surgeons rely on their mentors to help them crack difficult cases.
So why not job seekers in other domains? Working with a coach will help you understand your limitations, and find a way to unlock your true potential. Adaptiv’s 6 month program has been carefully designed to help you prepare for the job market through skill acquisition, practical application, and interview preparation. |
I finally launched the website for my company yesterday - or perhaps it would be more proper to call it a start-up as I have literally no idea if and how this will work out. Maybe it will flop. But nevertheless, even in that case I would have at least tried!
Tell me what you think - it is all a work in progress so lots of both bigger changes and smaller fine-tunings will inevitably happen... |
Nonetheless, there are still data challenges even when training models in a federated way. Zenseact have access to autonomous driving data which can’t be shared freely in R&D projects with external partners. Even within Zenseact’s organization, there are regulatory hurdles to overcome when you want to move raw data and non-trained models between borders.
Proxy data are datasets that share a lot of the same features of the data related to the solution you are aiming to build, minus the regulatory aspects of the data.
In this specific case, video recordings of seabirds, breeding on the cliffs of Stora Karlsö off the coast of Gotland, Sweden, turned out to be a perfect match for Zenseact’s needs.
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Om du jobbar med AI på riktigt - vill du vara gäst i vår podcast?
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