Where Are We At With Generative AI in L&D? with Egle Vinauskaite
Feb 6, 2024
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In this episode, Egle Vinauskaite discusses the current state and potential of generative AI in L&D. Most L&D departments have not fully integrated AI yet, but it is coming and organizations need to experiment with it. AI can provide personalized feedback and spot emerging skill needs. It is important to not fall for AI shiny objects that don't solve real problems and to audit and improve tools using AI.
AI integration in L&D is still low, with only around 30% of departments having tried it and decided not to use it.
L&D's successful adoption of AI will play a significant role in the organization's overall adoption and implementation of AI.
AI has the potential to provide personalized feedback for upskilling and skill development, as well as analyzing data.
L&D professionals should prioritize problem-solving and impact and be cautious of AI tools that may not solve actual problems.
Deep dives
The Current State of AI Adoption in L&D
Despite the hype, only a few L&D departments have fully integrated AI in a strategic and holistic way. Many organizations are still experimenting with AI or using it only for specific tasks like learning design or content recommendations. It is surprising that around 30% of L&D professionals are not using AI at all. On the vendor side, generative AI is being integrated into products, but the effectiveness and value of AI-powered solutions vary. L&D needs to be cautious and discerning when choosing AI tools and consider their specific organizational context.
Upskilling and Skill Development with AI
One exciting application of generative AI is in upskilling and skill development. Conversational simulations and customized feedback can transform skill practice and development. AI can also provide feedback on actual conversations in real-time. The same skill development principles apply to other areas like coding, software engineering, and project management planning. The potential for personalized, tangible skill development through AI is a game-changer if leveraged effectively.
The Importance of Problem-First Approach and Building Capability
To make the most of AI in L&D, it is crucial to prioritize problem-solving and impact over simply creating more content. L&D should focus on addressing real challenges and pain points within their organization and prioritize goals that align with business value. AI can be a valuable tool for analytics, identifying pockets of expertise, and predicting emerging capability needs. It is essential to create a roadmap for AI adoption and build the necessary infrastructure, such as data capture, to fully leverage its potential. L&D's role in upskilling and enabling career pathways can create a competitive advantage for individuals and organizations alike.
Understanding Risks and Making Informed Decisions
L&D should navigate the risks and concerns associated with AI by understanding their organization's AI policy and decision-making process. It's important to involve IT, security teams, and business leaders in the conversation to address any potential risks and protect the business. L&D must stay informed about AI developments within the organization and make proactive decisions about how to integrate AI effectively and ethically.
The Future of AI in L&D and the Role of L&D Professionals
In the coming year, many organizations will roll out AI at scale, providing L&D with an opportunity to shine. The focus will be on using AI deliberately and with impact, rather than aimlessly creating more content. L&D professionals need to be proactive in understanding their organizational context, identifying use cases for AI, and driving the adoption of AI in a way that aligns with organizational goals. By embracing AI and solving real problems, L&D can play a crucial role in upskilling, creating career pathways, and driving organizational success.
Advice for L&D Professionals
To get involved and effectively use AI in L&D, it is important to start with a problem-first approach and understand the specific organizational context. L&D professionals should conduct an audit, assess goals, and experiment with AI to discover use cases that add value. Instead of waiting for best practices, they should create their own by extracting knowledge from team members, exploring what other departments are doing, and addressing any knowledge or skill gaps related to AI. Taking a proactive, hands-on approach is key to leveraging the potential of AI in L&D.
Conclusion and Follow-up
The integration of generative AI into L&D presents both opportunities and challenges. L&D professionals need to navigate the hype, be discerning in choosing AI tools, and focus on problem-solving and impact. Upskilling and skill development through AI can be transformative if approached strategically. L&D must understand risks, involve key stakeholders, and make informed decisions. The future of AI in L&D depends on proactive action and integration into organizational goals. L&D professionals need to embrace AI, create their own use cases, and drive the adoption of AI in a way that delivers real value and impact.
Without a doubt, generative AI dominated the conversation, not only in L&D but in wider business and politics - and it’s not going away. So where are we now in terms of advancement, adoption, and application? These are important questions explored with Egle Vinauskaite in this episode, presented by 360Learning.
KEY TAKEAWAYS
Most L&D departments have not yet fully integrated AI. Around 30% have tried it and decided not to use it.
AI is coming, if you don´t keep experimenting with it, you will fall behind.
L&D will inevitably play a big role in the organisation's successful adoption of AI for its processes. This is our time to shine.
AI will be able to provide personalised feedback to help with upskilling, it will also be good at analysis.
In time, AI will be able to spot emerging capabilities and skill needs.
Don´t be sucked in by AI shiny objects that don´t solve an actual problem.
Do an audit of the tools you are using and see if you can use AI to improve things.
BEST MOMENTS
'Very few, if any, L&D departments seem to have integrated AI in a strategic and holistic way.'
'I am very excited by the potential for upskilling.'
'For most organisations using AI has become a competitive imperative.'
Egle Vinauskaite is an award-winning learning innovator and strategist advising blue chip companies, vendors, and some of the most exciting edtech startups around. Combining evidence-based learning design, behavioural science, and product development expertise, she specialises in using the latest technologies and approaches for digital and blended learning at and outside of work. Her work spans large-scale programmes, academies, alt education, apps, XR and beyond.
Focus on AI in L&D Report: https://donaldhtaylor.co.uk/research_base/focus-on-ai-in-ld/
Website: https://www.nodes.works/
ABOUT THE HOST
David James
David has been a People Development professional for more than 20 years, most notably as Director of Talent, Learning & OD for The Walt Disney Company across Europe, the Middle East & Africa.
As well as being the Chief Learning Officer at 360Learning, David is a prominent writer and speaker on topics around modern and digital L&D.
