The X-Challenges’ Post

Where can we source the data necessary to train AI for education? According to a report from The Wall Street Journal, "Powerful artificial intelligence systems require vast amounts of data. However, some researchers and executives caution that the demand for high-quality text data may surpass the available supply within the next two years." The internet lacks substantial data from children over the past four decades, primarily due to regulatory requirements from governments and privacy concerns among families. Moreover, the educational data amassed over the past 40 years is not only fragmented but also predominantly comprised of scores and grades, which are of limited utility for AI training purposes, often considered "noise." Given these challenges, how can we effectively train AI for educational applications? It seems that authentic learning with performance assessment may provide the most promising solution. While Project-Based Learning (PBL), inquiry-based learning, and similar methodologies represent positive steps forward, they may only serve as surface-level adjustments to the current education system and might not fully meet the requirements for transitioning education into the AI era. For education and AI to truly progress, a synchronized approach is essential, which is precisely what The X-Challenges aim to address. https://xchallenges.com/

Formal learning in school provides conceptual knowledge, but advanced knowledge and skill are developed over time by working with an expert. As GenAI is being more widely adopted, and as it gets better, the current young generation (teens and pre-teens) will grow up considering AI models as the "expert", helping them to advance their knowledge, skill, and efficiency. In a short time, the current young generation will be considered "GenAI Natives" similar to current "Digital Natives," and use GenAI fluently in their everyday lives. #AI #artificialintelligence #digitalnatives #AInatives #learning #futureoflearning #education #futureofeducation

Singapore as a Global AI Hub For a country lacking the fundamentals of production, land, people and capital, AI is a national security issue. AI is an intellectual capital and innovation accelerator. So what can Singapore do? 15,000 homegrown AI practitioners by 2028. That's Singapore's goal. And aisingapore.org is there to help with a curated online self-paced course and the AI Apprenticeship Program or AIAP. And yes, they will pay you as yor go through the program. But the AIAP is for Singaporean citizens only and there's a rigorous screening including a small project that you must present and defend if your application is accepted. And at a minimum of 140 hours, it's not a small time investment but at a tad over SGD$200, it's a good deal, especailly compared to the courses you find listed in Skills Future. I know because I completed course and the quailty is excellent. Since you are not formally assessed you will only come away with a certificate of completion but the learning served my purposes. You can apply for an assessed professional certificate as an associate AI Engineer if you want for an additional cost. Given all the hype, hyperbole, and clickbait about AI, it behooves us to understand what AI can and can not do. Impersonation, identity theft, and AI-generated fake information are already rampant. If you haven't yet, you can start by becoming data literate and data fluent because the world will only become more data-driven, not less. Developers are contributing too by builder more user friendly apps that make it for accessible for the citizen developer. The AI Foundations course covers supervised, unsupervised, machine learning and deep learning including NLP (not the Tony Robbins kind) and computer vision. Generative AI is not covered. Check out my video overview on the AI Foundations course offered by aisingapore.org. https://lnkd.in/gnqj9-h5

Thrilled to announce the launch of Safety by Design Lab, a research think tank dedicated to building safer technology and AI! Leveraging experience in Safety by Design and expertise in behavioral science and data science, Safety by Design Lab will promote safety by design, specifically exploring the impact of cognitive bias on AI to mitigate risks and foster responsible AI development. Have you ever clicked "accept" without reading the contents? We all have. Our brains are wired with shortcuts that can sometimes lead to risky online behavior. These mental shortcuts, known as cognitive biases, can influence how we interact with technology. These same biases can also unconsciously creep into the data used to train AI systems, potentially leading to biased or unfair outcomes. AI systems are designed and managed by humans, making the human factor crucial in ensuring AI safety. Developers and product managers influence the design and implementation of AI, and their cognitive biases can affect these processes. By understanding how people interact with technology, Safety by Design Lab leverages insights from behavioral science to design systems that "nudge" users and developers towards safe and responsible behavior. Join the movement for updates on research and how to build a safer digital future. #SafetybyDesign #AI #Technology #BehavioralScience

🚀 Big Reveal Tonight on GAI Insights Learning Lab with Paul Baier! 🌌 Tonight, I'm stepping into the featured guest on Paul Baier’s GAI Insights Learning Lab to share something truly special: https://lnkd.in/gf6T2mpM 🎓💻. This isn’t just another project. It’s a practical solution born out of a need to centralize the incredible value our Facebook AI community with over 257k members and other online sources provide covering AI. We wanted to make AI easier to define, search and engage with for our community. Which hoperfulyy includes you soon! The problem we faced was social media feeds. We all know the drill with social media: fantastic for catching immediate info but a nightmare when trying to reshare or find quality content after its initial 48-hour spotlight. That’s exactly what drove us to create a more sustainable, searchable, and engaging platform around ai. 🕵️♂️🔄 The AI Online Classroom isn’t just a collection of resources; it’s akin to Netflix for AI learning, streaming over 6,000 AI-related videos in a well-organized ecosystem. Add to that daily AI news briefs, weekly livecasts, and a RAG-based AI-assisted chatbot designed to keep you at the cutting edge of AI, tailored to your interests and learning pace. 🤖🎥 But we didn’t stop there. Beyond videos, the platform is enriched with ChatGPT & AI cheatsheets, links to upcoming events, AI reviews, and many comprehensive online courses soon to come. This is more than a learning hub; it's a community endeavor built with the community's best interests at heart. 🌍❤️ This project is in its infancy, crafted for you and because of you. It's our starting point to serve the community better, and your engagement and feedback are crucial. We built this platform for you, to provide a better way to share, learn, and grow together in the AI space. So, we’re inviting you to dive in, give it a try, and let us know how it can be refined to meet your needs even better. 🛠️📈 Join us tonight at 7PM EST to get a closer look at how The AI Online Classroom can change the way we learn and share AI knowledge. Your journey into the future of AI education starts here! 🚀📚 #AIOnlineClassroom #CommunityBuilt #FutureOfLearning #EngageAndRefine Don't miss this opportunity to expand your AI knowledge and connect with others in the field. Use this Zoom link to join us: https://lnkd.in/gijw_ZZB. And for more details, check out our event page: https://lnkd.in/gQnrS_P8 See you there! #AI #GenerativeAI #Education #Networking https://lnkd.in/g53-xNUg

Dopplio: AI-Powered Content Generation Made Easy Dopplio is a platform that leverages AI to generate high-quality text content quickly. It utilizes natural language processing (NLP) algorithms to analyze input data and produce human-like text outputs. This tool aims to assist users in generating various types of content, such as articles, blog posts, or social media captions, by automating the writing process. Dopplio's AI capabilities enable users to streamline content creation tasks, potentially saving time and effort in content generation workflows. Ashwin Mathews #Dopplio #AI #ContentGeneration #NLP #TextContent #Articles #BlogPosts #SocialMediaCaptions #Automation #Efficiency #WorkflowOptimization

Before you go and spend a bajillion dollars in AI to "help" your business, remember these two sayings from long, long ago, and one new saying: 1.   To err is human, to really foul things up requires a computer. 2.   Love many, trust few, and always steer your own canoe. 3.   Regardless of how much training an AI app has had, AI cannot definitively tell you that any two things are related in your business, AI can only tell you that two things are PROBABLY related. It might be a high probability, it might be low, but it is never 100% because ONLY THE PEOPLE running the business can know for certain with regard to past, present and especially the future. PEOPLE are still the decision-makers, not AI. If you abdicate the throne to AI, then you will get whatever AI gives you, and you probably won’t like it. (an original quote from Keith Kociba) Get help solving your problems in Life Sciences Manufacturing by contacting us at DLW Partners LLC. Learn more at www.dlw-partners.com

AI Update: Use of AI in Schools Here is sample guidance on the use of AI from TeachAI.org: https://buff.ly/3wXlaI4 What are your rules for the use of AI in your classroom?

Explore hundreds of thought- provoking articles and content on a variety of topics including Project Management, AI, Agile, Career Tips & much more! Check out our Blog here: https://zurl.co/H1oy #blogarticles #blogpost #newcontent

🤖 The Tech Behind Digital Likeness: AI, Machine Learning, and Beyond Creating realistic digital likenesses relies on cutting-edge technology, including: - Artificial Intelligence: Algorithms that learn and replicate human features. - Machine Learning: Training models to improve likeness accuracy. - 3D Modeling: Techniques to create lifelike representations. - Deep Learning: Advanced neural networks for generating deepfakes. These technologies are evolving at a breakneck pace, opening up new possibilities for digital representation. Let's dive into how these innovations work and their future potential. 🔗 Check out:  www.irisml.co #DigitalLikeness #AI #MachineLearning #3DModeling #DeepLearning #TechInnovation #OpenAI #ArtificialIntelligence