Generative AI vs. Traditional AI: Understand Key Differences
Artificial Intelligence (AI) has transformed various sectors, reshaping how people interact with technology. It has undergone a significant…
Comparing Traditional AI vs. Generative AI models shows that both are trained on large datasets. However, TA relies on rules and patterns, whereas Gen AI captures the essence of human-created content.
Introducing GitHub Models: A new generation of AI engineers building on GitHub
We are enabling the rise of the AI engineer with GitHub Models – bringing the power of industry leading large and small language models to our more than 100 million users directly on GitHub.
Fully-automatic robot dentist performs world's first human procedure
Nightmare fuel? Maybe – but in a historic moment for the dental profession, an AI-controlled autonomous robot has performed an entire procedure on a human patient for the first time, about eight times faster than a human dentist could do it.
Learning a new language with ChatGPT Advanced Voice Mode
With real-time translation and the ability to understand emotion and be interrupted, Advanced Voice Mode can be even more helpful in iteratively learning new...
World’s first major AI law enters into force — here's what it means for U.S. tech giants
The European Union's landmark artificial intelligence law officially enters into force Thursday — and it means tough changes for American technology giants.
Conrad Wolfram on Computational Thinking and Revolutionizing Math Education
Tom Vander Ark and Conrad Wolfram discuss the evolution of computational thinking in education and the shift from manual calculations to AI-driven problem-solving.
More Practical Strategies for GenAI in Education: Part 2
Educators continue to grapple with the ethical and practical implications of Generative AI, but it has proven valuable in enhancing teaching methods and student engagement. LLMs like ChatGPT can ai…
(8) AI cheating in education: What can we do right now? | LinkedIn
Recent reports, including a notable article in The Guardian, by Caitlin Cassidy have shed light on a growing concern: students are seemingly using AI tools inappropriately to complete their academic work in increasing numbers. While this issue is particularly prominent in higher education, it's also
Know your students: High-quality learning is fundamentally relational, not transactional, despite higher education looking increasingly transactional in nature (I won't rant about that issue here). While getting to know students can be challenging in large cohorts and/or with a high reliance on sessional staff, finding ways to connect with students individually can make a significant difference in promoting academic integrity and provide insight into the individual trajectories students are on in their learning. Yes, I know, much easier said than done.Be transparent about AI use: Whether using a system of "lanes," like Professor Danny Liu’s two-lane approach, the multi-lane highway approach outlined by UNSW’s Professor Alex Steel, the AI Assessment Scale developed by Leon Furze, Dr Mike Perkins, Dr Jasper Roe SFHEA and Dr. Jason MacVaugh or another framework, be absolutely explicit about what constitutes appropriate and inappropriate use of AI in your units/subjects. My sense is that coordinators are best placed to make these calls, which takes us back to the awareness-raising piece above. Clear guidelines can help students navigate this new terrain ethically but this kind of guidance is often lacking (partly because we have been trying to figure all this out, of course).Ask students to show their working: If students are permitted to use AI tools, require them to document their process. The calculator analogy doesn’t work with generative AI for a range of reasons but ‘show us your working’ is a useful heuristic here, as it was when calculators appeared on the scene. This approach could include sharing the prompts they used, the outputs they received, and how they incorporated this information into their final work. This approach not only discourages misuse but also helps students develop critical skills in working with AI and gives us some insight into how these tools can be used in the tasks we assign.Engage in conversations with students as assessment: Consider incorporating more oral assessments or discussions into your assessment. While this may be challenging in large cohorts, even small-scale implementation can provide valuable insights into students' understanding and thought processes that may not be evident in written work alone. I have resisted this one because of the challenges I face in implementing this approach in a cohort of 250 students, but I have changed my mind on this and will give it a go. I have been convinced by the argument that we can learn a lot more about how a student is going in a 15-minute chat with them than in spending an hour or more looking at the distant echoes of their progress in a written artefact.
Anyone can create an AI character based on their interests, and creators can build an AI extension of themselves. Start chatting with these AIs in Instagram, Messenger, and WhatsApp.
Mustafa Suleyman on The Coming Wave of AI, with Zanny Minton Beddoes
Mustafa Suleyman is the ultimate AI insider. As co-founder of DeepMind and Inflection AI, he is one of the pioneers of the artificial intelligence revolution, potentially the single greatest accelerant of progress in history. Investors in Inflection AI include the likes of Microsoft, Nvidia and Bill Gates. Suleyman says AI represents nothing less than a step change in human capability and human society, introducing both risks and innovations on an awesome scale. This is what is coming.
In September 2023 Suleyman came to the Intelligence Squared stage to discuss his new book The Coming Wave: Technology, Power and the Twenty-First Century’s Greatest Dilemma. In conversation with Zanny Minton Beddoes, Editor-in-Chief of The Economist, he explained how he believes we are approaching a critical threshold in the history of humankind. Soon we will live surrounded by AIs which will carry out complex tasks – operating businesses, running government services and maintaining infrastructure. This will be a world of DNA printers and quantum computers, robot assistants and abundant energy, as well as human-engineered pathogens and autonomous weapons.
We are not prepared, Suleyman argued.
While these tools hold the promise of solving global problems and generating immense wealth, they also bring the risk of upheaval on a scale we can barely imagine. Suleyman explored how these forces threaten the very foundations of the nation state and the global order. And he argued that we face an existential dilemma: on the one side lie unprecedented harms arising from unchecked and unregulated AI, and on the other, the threat of overbearing surveillance from the state. Can our governments forge a narrow path between too much openness and too much control? Or are we sleepwalking into disaster?
Suleyman grappled with ‘the containment problem’ – the task of maintaining control over artificial intelligence and other powerful technologies – the ultimate challenge of our times.
Presented in partnership with Penguin.
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Welcome to Guidance on the Future of Computer Science Education in an Age of AI. Here you will find links to the Guidance, to our Research Collection, and to an open door to engage with the community in the future of CS education.
The AI Assessment Scale in Action: Examples from K-12 and Higher Education Across the World
The AI Assessment Scale has already been adapted in many different contexts, both K-12 and higher education, and it’s been incredibly positive to see the impact that it has had in education a…