709 - Prepare for Impact: Getting Started With AI in L&D
Artificial intelligence is changing the way work is done. Marketing. Logistics. Safety. HR. AI-enabled technology is quickly becoming the engine that drives execution within a modern business. But what about L&D? While we will not be the first team to introduce AI in our organizations, we cannot risk falling behind when it comes to the impact AI is having on our workplaces. So how should L&D teams prepare for adoption of AI-enabled technologies? How can L&D professionals apply AI to improve the impact of learning on employee performance? And, most importantly, what should the L&D function look like in an organization where AI and automation have fundamentally changed the way people approach their work? Let's discuss!
In this sesson we'll explore the impact AI will have on workplace learning and performance within the next five years. We'll begin by dissecting the influence of AI on the employee experience, including both the automation and humanization of work. Then, we'll identify a range of AI applications within L&D, including personalization, performance support, advanced analytics, and content development. We'll discuss the changes L&D must make to maximize our AI potential, including new skill requirements for L&D professionals. We'll take a deep dive into data and demonstrate why L&D must evolve beyond antiquated, ineffective measurement models to power AI-enabled technology. Finally, we'll address critical AI considerations, including privacy, transparency, and governance. You'll walk away with everything you'll need to kickstart your own AI conversation with your stakeholders and peers.
In this session, you will learn:
- How AI is already starting to disrupt workplace learning
- How AI can be leveraged in a range of L&D applications
- How AI is changing skill requirements for L&D professionals
- How to build the data strategy needed to implement AI
- How to start an AI-enabled learning conversation in your organization
Managers, senior leaders
AI-enabled training, machine learning, data collection/analysis, adaptive learning