?? How we should think about AI training
Each week we'll gather headlines and tips to keep you current with how generative AI affects PR and the world at large. If you have ideas on how to improve the newsletter, let us know!
What You Should Know?
How We Should Consider AI Training
Growing up, almost everyone’s favorite class was computers. It was a novel way of learning — Mavis Beacon Teaches Typing was a lot more engaging than reading from yet another textbook. Computers have gotten faster and more capable but we still generally use them the same way. The QWERTY keyboard has enjoyed staying power.?
While AI is similar in some ways, it isn’t a direct comparison. How AI works, how we prompt tools, and even what they’re capable of is changing so quickly that it’s hard to develop a curriculum. There’s no manual for working with AI, and even if you tried to write one it would be outdated by the time you finished. That doesn’t mean we should wait to start teaching others how it works.?
Internal sharing can inspire coworkers and new use cases for your organization, but external sharing can introduce novel perspectives. California has engaged with chip maker NVIDIA to train students, educators, and the workforce on using AI tools. The partnership also aims to support job creation, promote innovation, and use AI to solve some of the state’s biggest challenges. This is the blueprint for how we should be learning about AI and experimenting with its capabilities.?
We need more partnerships like this to share knowledge, increase adoption, and explore the potential of AI. Communicators likely won’t be able to strike deals with tech giants but should think outside the box about who they collaborate with, like the AI Journalism Lab at the Craig Newmark Graduate School of Journalism at CUNY which connects reporters, educators, and technologists to improve the industry.?
These partnerships allow communicators to gain practical knowledge of AI tools that enhance their work, while their partners develop a workforce skilled in technologies that will be as integral to our future as desktop computers were 25 years ago.?
Elsewhere …
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Tips and Tricks
??? How to spot the AI image
What’s happening: As AI-generated images become more lifelike, it’s challenging to distinguish between what’s real and what’s synthetic. New tools like Flux are popping up with the ability to generate visual content with astonishing realism. While those tools are getting more and more lifelike, there are some tells that can help you spot AI imagery.
Why it matters: For communicators, being able to spot and disclose AI images helps ensure that the content you share is genuine and trustworthy, tamp down misinformation, and protect your brand.
Look out for this: You might need to zoom in to identify some of the ways AI tools disguise their images as real-life depictions, especially if there are no watermarks. Some tools are still generating images of people with more than five fingers or extra limbs. Most struggle with generating text within images, including nonsensical characters, typos, or simply fonts that just don’t look right. There’s also this “digital art” style that can take many forms. It’s kind of lifelike, but something just seems to be missing. Here are several examples of that illustration style.
Less obvious tells include elements of the image blending together, lighting or reflections that don’t make sense, and people facing away from the object or scene you’d think would be the focus of people’s attention (like a group of people looking at the Northern Lights … but they’re looking away from the Northern Lights).?
If an image seems too perfect or has elements that don’t quite add up, dig deeper. Even if the source seems reputable, taking this extra step ensures that your content remains authentic. If you’re using AI to create images for your own content, just be sure to be transparent about it by including a caption that is up-front about AI’s involvement in the content.?
Quote of the Week
“This partnership will help the California Community Colleges and its more than 2 million students prepared with industry aligned skills in AI and ready on day one for careers that will drive their prosperity and our state’s economic competitiveness. We can’t stand still as AI changes the future of learning, and our approach prioritizes equitable access to AI teaching and learning enhancements that will lift up underserved populations.”
— Sonya Christian, Chancellor of California Community Colleges, on the partnership between the state and NVIDIA
Search Engine Optimization Analyst at SEO
7 个月Training AI is a complex challenge requiring collaboration and knowledge sharing. The partnership between California and NVIDIA is a great example of how to approach this. To contribute to AI education, platforms like #SmythOS can be used to create interactive learning experiences. Develop AI-powered tutors or simulations to enhance AI education and training.