Latest news with #AIFluency
Fast Company
6 days ago
- Business
- Fast Company
3 Ways to encourage AI fluency at work
In my conversations with business leaders around the world, I consistently hear the same phrase to describe what they want to achieve for their workforce: AI fluency. I often tell them that to achieve AI fluency, we need to treat it as a foreign language. Like learning a new language, becoming AI fluent requires dedication, immersion, and practice. Fluency transforms how we think and communicate. Becoming fluent requires us to overcome the fear of making mistakes or incurring risks. Yet there's one crucial difference between achieving fluency in AI versus a new language: When learning a new language, we step into an established culture. With AI, we're learning the culture while simultaneously creating it. The big question: How can organizations build these cultures and become laboratories of AI fluency? Here are three ways to foster AI fluency. 1. Create an immersive environment Whether we're learning Spanish, Mandarin, or any of the other 7,000 languages in the world, immersion is an essential step to fluency. Living where the language is spoken forces you to adapt, to think differently, and to develop new neural pathways. AI requires the same commitment. Organizations are uniquely positioned to create these immersive environments where employees interact with AI tools daily, not as occasional novelties but as essential components of their workflow. From Udemy's work with thousands of organizations around the world, helping to create these environments, we've found that organizations succeed when they integrate AI across departments, from marketing teams using generative AI for content creation to HR departments employing AI-powered skills assessments. Immersive environments are built when employees understand they need to become fluent to reach their goals. That means the most successful AI adoption happens when tools directly address employees' pain points. Just as language learners progress faster when they need the right words to order food or navigate transportation, employees embrace AI more readily when it solves real problems they face. Organizations seeking AI fluency must balance structure with exploration. Consider how language learning works: Structured lessons provide grammar and vocabulary, but real learning happens through conversation and experimentation. Similarly, building organizational AI fluency requires a few basic building blocks: Upskilling on foundational AI capabilities and limitations, like learning the rules of grammar. Creating a sandbox-style environment where people can experiment without fear of consequences. Developing communities of practice where people can find social support to troubleshoot, ask questions, celebrate successes, and motivate each other to keep experimenting. Establishing guidelines for when to rely on human judgment versus AI, how to evaluate AI outputs, and how to maintain human connection in AI-mediated interactions. 2. Overcome fluency barriers The barriers to AI fluency mirror those of language learning. Fear of embarrassment prevents many language learners from practicing conversation, just as fear of looking incompetent may prevent employees from experimenting with AI. Imposter syndrome—the feeling that everyone else knows more than you do—impacts both AI and language fluency. The solution is creating psychologically safe environments where questions are welcomed, and mistakes are treated as learning opportunities. Leaders like Salesforce CEO Marc Benioff model this by encouraging employees to approach new challenges with a 'beginner's mind,' getting curious instead of expecting immediate mastery and understanding. What's more, both language learners and AI adopters often experience an ' uncanny valley ' stage where they know enough to recognize their limitations but not enough to feel confident. Supporting people through this phase is critical. This is where many abandon the journey if they're not properly encouraged. In this case, encouragement can come not only from leaders, but from the environments leaders create such as building supportive communities of practice where learners can share their struggles with gaining fluency. This normalizes the experience, while reminding them that this uncomfortable stage is not just common but also a sign of meaningful growth. 3. Create culture while learning This is where the language metaphor ends. While becoming AI fluent, we're simultaneously students and architects of the culture. This dual role presents unprecedented responsibility and opportunity. Leaders must consciously shape how AI integrates into the organizational culture by establishing rules and norms that preserve human creativity and connection while leveraging AI's capabilities. This means modeling thoughtful AI usage, celebrating innovative applications, and continuously reinforcing that AI serves human objectives, not the reverse. The organizations that thrive will be those that build immersive environments where employees can become AI fluent and build cultures where technology amplifies uniquely human capabilities. In a workplace where managers offload administrative or basic creative tasks to AI agents, employees would gain hours back in their day. This would allow them to spend more time coaching their teams, helping them solve problems, identify opportunities for growth, and learn the best ways to motivate them during times of change and upheaval. The journey to this future begins with recognizing that AI, like any language, isn't just a skill to acquire but a new way of thinking.
Geeky Gadgets
24-06-2025
- Business
- Geeky Gadgets
Free Anthropic AI Fluency Framework & Foundations Course Now Available
What if the key to unlocking the full potential of artificial intelligence wasn't just technical expertise, but a deeper understanding of how to collaborate with it ethically and effectively? In a world increasingly shaped by AI, the stakes are high: misuse or misunderstanding can lead to unintended consequences, while thoughtful engagement can drive innovation and societal progress. Enter the 'AI Fluency: Framework & Foundations' course, a new free resource from Anthropic, developed in collaboration with leading educators. Designed to equip learners with the skills to navigate the complexities of human-AI collaboration, this course doesn't just teach you how to use AI—it challenges you to rethink your relationship with it, emphasizing ethical practices and real-world applications. Through this course, you'll explore the fantastic potential of the AI Fluency Framework, a structured approach that builds critical competencies like delegation, discernment, and diligence. Whether you're a creative professional, educator, or business leader, the course offers a tailored pathway to mastering generative AI while addressing its societal implications. But this isn't just about technical fluency—it's about fostering a mindset that prioritizes accountability, fairness, and innovation. By the end, you'll not only understand how to work with AI but also how to do so responsibly, making sure your contributions align with both personal and community values. How might this shift in perspective redefine the way you approach technology? AI Fluency Course Overview What is the AI Fluency Framework? At the core of the course lies the AI Fluency Framework, a structured approach designed to build four essential competencies for responsible AI engagement. These competencies are critical for fostering a productive and ethical relationship with AI systems: Delegation: Master the art of assigning tasks to AI systems with clarity and precision, making sure that your instructions are actionable and effective. Master the art of assigning tasks to AI systems with clarity and precision, making sure that your instructions are actionable and effective. Description: Enhance your ability to communicate goals, expectations, and parameters clearly to AI systems, minimizing misunderstandings. Enhance your ability to communicate goals, expectations, and parameters clearly to AI systems, minimizing misunderstandings. Discernment: Develop critical evaluation skills to assess AI outputs for accuracy, relevance, and ethical considerations, making sure that the results align with your objectives. Develop critical evaluation skills to assess AI outputs for accuracy, relevance, and ethical considerations, making sure that the results align with your objectives. Diligence: Understand the importance of monitoring AI performance, addressing potential risks, and maintaining ethical standards throughout the collaboration process. This framework encourages you to view AI not merely as a tool but as a collaborative partner. By mastering these competencies, you can better navigate the challenges and opportunities presented by generative AI and other advanced technologies, fostering a more effective and ethical approach to AI integration. Course Goals: Building AI Fluency and Ethical Awareness The primary goal of the course is to transform how you approach AI by fostering a deeper understanding of its capabilities, particularly in the realm of generative AI. Generative AI, known for its ability to create text, images, and other forms of content, has the potential to reshape industries such as creative arts, education, and business operations. Through this course, you will learn how to harness these capabilities for innovative and responsible problem-solving. A significant emphasis is placed on ethical AI practices. By integrating ethical principles into your work, you can ensure that your use of AI aligns with societal values, minimizes unintended consequences, and promotes fairness. This dual focus on technical fluency and ethical responsibility prepares you to engage with AI in a way that benefits both your personal goals and the broader community. The course also highlights the importance of understanding the societal implications of AI technologies. By addressing these broader impacts, you will be better equipped to use AI responsibly and contribute to a more equitable and sustainable future. Learn to Collaborate with AI Systems Effectively Watch this video on YouTube. Here are more detailed guides and articles that you may find helpful on AI frameworks. Multidisciplinary Collaboration: A Unique Approach The development of the 'AI Fluency: Framework & Foundations' course reflects a multidisciplinary approach, combining insights from diverse fields such as artificial intelligence, creativity, business, and education. Anthropic's collaboration with educators like Rick Dakan and Joseph Feller ensures that the course is grounded in both academic research and practical applications. This partnership underscores the importance of integrating diverse perspectives to create a comprehensive learning experience. By incorporating viewpoints from various disciplines, the course provides a holistic understanding of AI's potential and its societal impact. It explores how AI can be used responsibly across different domains, from technical fields to creative industries, offering you the tools to apply AI effectively in your area of expertise. This multidisciplinary approach also highlights the fantastic role of AI in reshaping professional and creative processes. By learning from experts across fields, you gain a well-rounded perspective on how to use AI for innovation while maintaining ethical integrity. Real-World Applications and Accessibility The AI Fluency Framework has already been implemented in a variety of real-world settings, demonstrating its versatility and relevance across educational and professional contexts. These applications include: Integration into undergraduate and postgraduate curricula, providing students with essential AI skills for their academic and professional journeys. Incorporation into staff training programs, equipping employees with the knowledge to use AI effectively and responsibly in their roles. Utilization in community outreach initiatives, fostering broader awareness and understanding of AI technologies among diverse audiences. To ensure accessibility, the course is offered as a free online resource. Whether you are a newcomer to AI or an experienced professional seeking to deepen your expertise, the course is designed to meet you at your current level of understanding. Its flexible structure allows you to progress at your own pace, making it an invaluable resource for anyone looking to achieve AI fluency. Ethics and Safety: A Central Focus A cornerstone of the course is its emphasis on ethical AI engagement. By encouraging you to consider diverse perspectives and societal implications, the course prepares you to address the challenges posed by AI technologies responsibly. It provides practical tools and strategies to help you mitigate risks, such as bias or misuse, while maximizing the benefits of AI systems. This focus on ethics and safety fosters a culture of accountability and responsibility. By equipping you with the knowledge to navigate the evolving AI landscape, the course enables you to make informed decisions that prioritize both effectiveness and ethical considerations. This approach ensures that your AI collaborations contribute positively to your goals and the broader community. Why This Course Matters The 'AI Fluency: Framework & Foundations' course offers a comprehensive guide to understanding and collaborating with AI systems. By focusing on ethical practices, generative AI capabilities, and multidisciplinary methodologies, it enables you to engage with AI responsibly and effectively. Whether you are exploring AI for the first time or seeking to deepen your expertise, this course provides the foundation you need to thrive in an AI-driven world. By mastering the AI Fluency Framework, you will gain the skills to navigate the complexities of human-AI collaboration with confidence. This course not only enhances your technical proficiency but also instills a strong ethical foundation, allowing you to use AI as a force for innovation and positive societal impact. Media Credit: Anthropic Filed Under: AI, Top News Latest Geeky Gadgets Deals Disclosure: Some of our articles include affiliate links. If you buy something through one of these links, Geeky Gadgets may earn an affiliate commission. Learn about our Disclosure Policy.
Forbes
13-06-2025
- Business
- Forbes
What Does AI Fluency Look Like In Your Company?
What Does AI Fluency Look Like In Your Company? When generative AI first entered the mainstream, it created a wave of excitement across the world. Entrepreneurs saw it as a way to unlock productivity, streamline operations, and speed up decision-making. But as with most technologies, the initial excitement has been replaced by a more sober reality. Using AI is not the same as using it well. Many founders have learned this the hard way. What starts as an experiment to save time often turns into extra work. Teams spend hours rewriting AI-generated content or double-checking outputs for errors. These problems stem from a larger issue: most users simply are not fluent in how to interact with AI effectively. That is what makes a new course from Anthropic especially relevant right now. Anthropic, the AI company behind the Claude AI Chatbot, has launched a free online course titled AI Fluency: Frameworks and Foundations. Unlike the countless AI prompt guides floating around online, this one is structured like a university-level program. It is built on a formal academic framework, created in partnership with Professor Rick Dakan from Ringling College of Art and Design and Professor Joseph Feller from University College Cork. The program is also supported by the Higher Education Authority of Ireland. More than just informative, this course offers a practical roadmap for working with AI in a professional context. For entrepreneurs looking to use AI more strategically, it offers more than just knowledge. It comes with a certificate of completion, which, in today's job market, is a smart credential to add to your resume. It shows potential employers or investors that you understand not just how AI works, but how to apply it in a thoughtful, results-driven way. In a startup or growing company, time and budget are always under pressure. When AI is used without guidance or structure, it can waste both. Founders often try to use AI to build marketing strategies or write business plans, only to get bland results that need significant editing. Even worse, teams might deploy AI-generated content that misrepresents the brand or includes factual errors that damage credibility. These issues are not the fault of the technology itself. They point to a lack of structure in how people are taught to use it. That is the gap this course is trying to close. AI tools are everywhere, but the skill of using them properly is still rare. Most people are left to figure things out on their own, which leads to inconsistent results and missed opportunities. The AI Fluency proposes a framework that the creators claim develops four core skills: Delegation, Description, Discernment, and Diligence. These are the building blocks of what the course calls AI fluency. Here's how the framework works in practice. Delegation in this context means making smart decisions about when to bring AI into the process. It begins by asking what the real goal is and whether AI can actually help achieve it. For example, you may not want to ask AI to define your company's mission or values. That likely requires deep personal insight. But you could absolutely use it to gather summaries of competitor activity or synthesize customer reviews into a digestible report. This skill ensures that AI is used with intention rather than by habit. Most people know that AI needs prompts, but few know how to craft them well. Description is about giving AI clear, structured input so it can return exactly what you want. That means specifying the tone, the style, the format, and even the point of view. If you were asking AI to help with a pitch deck, you wouldn't just type 'make a pitch deck.' You would explain that it's for a Series A round, for a logistics-focused SaaS company, and that it should be written in the voice of a CFO. You would outline the ten slides you need and how the financial projections should be formatted. That kind of precision can turn AI from a basic assistant into a capable contributor. One of the biggest risks with AI is assuming the output is correct just because it sounds convincing. Discernment is the ability to review what AI produces with a thoughtful, critical eye. You need to check for logic, consistency, and accuracy. Did the AI ignore an important part of the prompt? Did it invent something that seems plausible but isn't? This skill mirrors how managers review human work. You don't just look at the final product. You ask how the conclusions were reached and whether they align with your standards. That habit is just as important when dealing with AI. Even when AI does most of the work, final responsibility lies with the human. Diligence means carefully reviewing everything before it is shared, especially with clients, stakeholders, or investors. It also means being upfront about when and how AI was used. If you use AI to help write a board report, you need to be confident in every sentence. You are accountable for the end result, and this step protects both your credibility and your organization's reputation. Diligence also plays a role in choosing the right tools and being thoughtful about how they fit into your workflow. The partnership behind this course is also worth noting. A leading AI lab, two established professors, and a national government agency came together to create a program that is accessible, credible, and relevant. That is rare in the current AI landscape, where most training options come from consultants or influencers with little oversight. For Anthropic, helping users become more capable with its models leads to better long-term adoption. For the Higher Education Authority of Ireland, supporting this program positions the country as a leader in forward-looking digital education. And for the learners, the certificate adds immediate value to their careers. If you are still experimenting with AI casually, it is time to shift your approach. The businesses that thrive in the years ahead will be those that integrate AI not just as a tool but as a core part of their strategy. This course is not just an educational opportunity. It is a professional signal. By mastering the skills outlined in the 4D framework, business leaders can turn AI into a consistent, reliable engine for productivity and insight. The phase of casual experimentation is over. AI fluency is no longer optional. It is the next essential business skill—and the entrepreneurs who take it seriously now will be the ones who lead the field tomorrow.
The Verge
09-06-2025
- Science
- The Verge
There's a flood of reports about college students
Ohio State leans into 'AI fluency' for the class of 2029. apparently using AI to cheat their way through college, and debating whether or not that's the actual problem. Now, NBC4 in Columbus points out Ohio State's new AI Fluency plan that targets the class of 2029 (with some level of assumptions that our current view of generative AI will still be relevant by then), focusing on a few steps: All undergraduates will be introduced to generative AI basics in the required General Education Launch Seminar. GenAI workshops will be integrated into the First Year Success Series. The new 'Unlocking Generative AI' course will be offered and open to all majors.
Yahoo
08-06-2025
- Business
- Yahoo
Ohio State announces every student will use AI in class
COLUMBUS, Ohio (WCMH) — Starting this fall, every Ohio State student will be asked to use artificial intelligence. 'Through AI Fluency, Ohio State students will be 'bilingual' — fluent in both their major field of study and the application of AI in that area,' Ravi V. Bellamkonda, executive vice president and provost, said. Ohio State's AI Fluency Initiative will embed AI education throughout the undergraduate curriculum. The program will prioritize the incoming freshman class, and OSU said from 2029 onward, every Ohio State graduate will be fluent in the application of AI in their field. DOGE revokes $23 million grant intended to help Ohioans without internet access The change comes as students are increasingly using ChatGPT and other resources to complete their schoolwork. The Pew Research Center found 26% of teenagers used ChatGPT for schoolwork in 2024, twice as many as in 2023. With AI quickly becoming mainstream, some professors, like Associate Professor of Philosophy Steven Brown, who specializes in ethics, have already begun integrating AI into their courses. 'A student walked up to me after turning in the first batch of AI-assisted papers and thanked me for such a fun assignment. And then when I graded them and found a lot of really creative ideas,' Brown said. 'My favorite one is still a paper on karma and the practice of returning shopping carts.' OSU said it will offer new general education courses and work with colleges to integrate AI fluency into coursework and help expand existing AI-focused course offerings. Each of Ohio's 14 public universities has incorporated AI in some way, but OSU is the first to officially incorporate AI fluency into every major. Ohio State said it will offer new general education courses and help faculty adapt existing courses to incorporate AI. The university will now require students to take an AI skills seminar, and it will incorporate workshops into existing framework like the First Year Seminar program. The seminars are optional one-credit courses tailored to first-year students in specialized subjects like Fantasy Worldbuilding in Television, Know Your Recreational Drugs and soon, AI. Local Pride festivals rally funds as businesses pull support 'Artificial intelligence is transforming the way we live, work, teach and learn. In the not-so-distant future, every job, in every industry, is going to be impacted in some way by AI,' Ohio State President Ted Carter said. Ohio State said this does not mean students will be able to use generative AI to pass off assignments as their own. OSU is tasking at least six university offices with facilitating the generative AI education programs. These offices will issue guidance to faculty on how to maintain academic integrity while using AI as a tool. For instance, OSU said education majors could be asked to use AI to create a lesson plan, which they then will evaluate and revise. The sample assignment would require students to submit their lesson plan along with their initial AI prompt and a reflection on what they changed and how effective the generative AI was. OSU also recognized that faculty and instructors may need support. The university's Michael V. Drake Institute for Teaching and Learning is tasked with expanding resources to help faculty integrate AI, including a new grant program for instructors. Ohio bill would require employers to pay people with disabilities minimum wage Brown is one of several instructors who have already implemented AI into their courses, and some faculty found students were hesitant about AI at times. Associate Professor of economics and business Subbu Kumarappan said students enjoyed AI projects, but told him they did not always feel like the work was really theirs. 'High-performing students tend to use AI to take their work even further, while those struggling may fall behind if they don't fully engage,' Kumarappan said. 'That's why I set clear expectations on how AI can or can't be used in every assignment and emphasize teamwork and collaboration — skills that remain essential.' Brown said AI is here to stay, so banning it is 'shortsighted.' He encouraged students to have discussions about ethics and philosophy with AI chatbots, asked them to write papers using AI however they'd like and used AI to help create dialogues between two sides of a controversial topic to demonstrate educated arguments on both sides. 'It would be a disaster for our students to have no idea how to effectively use one of the most powerful tools that humanity has ever created,' Brown said. 'AI is such a powerful tool for self-education, that we must rapidly adapt our pedagogy or be left in the dust.' Copyright 2025 Nexstar Media, Inc. All rights reserved. This material may not be published, broadcast, rewritten, or redistributed.
