De L&D Talks worden op 24/10/23 geopend met een erg actueel onderwerp: The Rise of AI in L&D – What Do You Need to Know : A hands-on masterclass . Deze duurt 2 dagen en wordt geleid door Stella Lee (CAN). Er kunnen maximaal 20 Stimulearners aansluiten. De prijs hiervoor is vastgelegd op € 550.00 ex btw. Niet-Stimulearners betalen € 900.00. Iedereen wordt verondersteld voor aanvang van het event een aantal documenten door te nemen en/of antwoorden op vragen voor te bereiden.

24/10/23

• 08:30 - 09:00 welcome coffee
• 09.00 - 12.15 break 15 min included
• 13.15 - 17.00 break 15 min included

25/10/23

• 09.00 - 12.15 break 15 min included
• 13.30 - 15.00 no break included
• 15.00 - 16.00 afterdrink

De Masterclass gaat door op dezelfde locatie als de L&D Talks 26/10/23. Wie woe. 24/10 's avonds wil blijven (overnachting en ontbijt) betaalt € 200.00 extra.

The Rise of AI in L&D – What Do You Need to know: A hands-on masterclass

Abstract:

The rise of artificial intelligence (AI) and machine learning in business applications has radically altered our workplace.  More and more, AI is used to filter resumes for job candidates, personalize learning, detect what resources are underutilize, and make predictions about job performances with a recommended course of actions. While AI is good at many tasks, its applications need to work in tandem with human intelligence and experiences.

For L&D practitioners to remain relevant, the pertinent questions become:

• What exactly is AI and what is the current landscape
• What are some common AI applications for L&D
• How do we evaluate the different applications
• What are some ethical concerns when implementing AI applications
• What skills do we need and what are our roles in using AI for learning

The aim of this workshop is to explore and discuss these topics and more so that together we can have a clear understanding of its opportunities and limitations, and to be able to make informed decisions regarding the purpose of utilizing AI for workplace learning.

Workshop outline:

Topic 1: What is AI?

Topic 2: Current Landscape in AI

Topic 3: Common AI Applications for L&D

Topic 4: Challenges and Limitations

Topic 5: How to Evaluate AI Application

Topic 6: AI Literacy