Artificial intelligence (AI) is transforming how work gets done. However, before the learning and development (L&D) industry can leverage these tools to advance our practices, we must get past the hype, establish a clear vision and embrace the opportunity to transform the role we play in the modern workplace.
First, it is time to stop thinking about AI as some sort of mystical magic. AI is a fancy buzzword for the technology that is fundamentally embedded underneath larger toolsets.
So, when it comes to the workplace, we need to stop worrying about being replaced by AI and start figuring out how AI is going to change the way we interact with the tools we use to do our jobs.
In this video, LearnGeek's JD Dillon shares four key concepts that he believes serve as the foundation for how to approach the application of AI in the workplace.
"Whenever I'm working on an AI-related project, whether it's building technology, talking about strategy, or implementing different types of technology, this is how I think about AI."
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ABOUT JD DILLON
JD Dillon is a veteran talent development leader, former Disney cast member, and dedicated Back to the Future aficionado.
JD became a learning and performance expert over two decades working in operations and talent management with dynamic organizations, including The Walt Disney Company, Kaplan, and AMC Entertainment. He continues to apply his passion for helping people do their best work every day as Axonify’s Chief Learning Architect and Founder of @learngeek.
JD is a respected author, keynote speaker, advisor, podcaster, and host. He specializes in modern learning practices, including frontline enablement, micro-learning, knowledge sharing, ecosystem strategy, and AI-powered solutions. His new book, The Modern Learning Ecosystem, is a personal, practical, humorous take on the role L&D must play to build disruption-ready organizations.
JD has never ridden a bicycle...
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TRANSCRIPT
There are four key concepts I want to talk through before we dive into your questions and comments. These four ideas, they serve as the foundation for how I approach the application of AI in the workplace. Whenever I'm working on an AI- related project, whether it's building technology, talking about strategy, implementing different types of technology, this is how I think about AI.
Number one: we don't get to decide if we're going to use AI specifically as learning and development. When we say AI, first of all, the level set, we're generally talking about the theory and development of computer systems to be able to perform tasks that typically require human intelligence. AI is this buzzy term. I don't think anyone really looks at it as artificial intelligence, but that's the word that people use. That's the letters that people use. We're talking about a computer's ability to perform tasks that typically humans would perform.
Number two, we're operating right now what I refer to as a liminal space. We're in this transition moment. We're on the threshold, we're on the verge. We're riding an escalator right now. We don't know what's at the top of the escalator, and it's uncomfortable. We don't know exactly what our function's becoming, we don't know where our role is potentially heading, depending on what you do in L&D. That's why if you read any article, you listen to any thought leader around L&D and AI, they say things like what the tech will be able to do, because we've never been here before. We don't know exactly where we're going. Today, we have to have these conversations so we can start to find the value in the noise. I like to liken where we are today to when the iPhone dropped in 2007...
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