In case you missed it, here’s the AI-generated summary of our first AI + Learning & Development Community of Practice.
During the second session of the AI + Learning & Development Community of Practice, community members actively participated and had fruitful discussions on questions and concerns regarding the use of AI in the context of L&D, building off the success of the first session.
The facilitators shared the conversation themes and questions discussed in their respective breakout rooms.
AI + Learning & Development Breakout Summaries
Navigating the Regulatory Landscape: Ensuring Safe Usage of AI Across Industries
Frank Calero raised a question about regulating AI to ensure its safe usage across industries. Markus Bernhardt acknowledged the challenge and explained the current lack of regulations in AI. He mentioned that different countries are adopting their own approaches, with some implementing stricter measures. Markus highlighted the EU AI act as a leading initiative and emphasized the importance of exploring different sources of information. He advised participants to stay informed about their country’s regulations, follow the EU AI act, and keep track of relevant updates on platforms like YouTube.
Nurturing Critical Thinking in the AI Era: Citation Ethics and Skills Preservation
Building off of the first group, Xaviera Sanchez’s group raised two important questions. The first question addressed the need for proper citation and credit when using AI tools in research or work. Markus acknowledged the challenge of determining the sources from which AI systems derive their information and suggested making it clear that the AI tool parrots information obtained from others. The lack of clear guidelines and the difficulty in identifying original sources were highlighted as concerns.
Comparatively, their second question focused on preserving critical thinking skills amidst the increasing use of AI in Learning & Development, HR and talent development. Markus emphasized that throughout history, new tools have enhanced critical thinking rather than hindered it. He stressed the importance of verifying and double-checking information provided by AI tools and mentioned the You in 2042 Podcast as a resource addressing critical skills and generative AI.
Balancing Autonomy and Implementation Challenges: Leveraging AI in Learning & Development
During the discussion, Jelena Marjanovic’s AI + Learning & Development Community of Practice group discussed varying levels of autonomy in implementing AI across organizations. Jelena raised two questions related to leveraging AI for rapid learning design and expediting AI implementation in organizations facing regulatory bottlenecks. Markus addressed the first question, emphasizing the importance of a vetted knowledge engine for effective learning design. He mentioned that while AI can support aspects of the design process, human input is necessary for specific organizational or sector-related courses.
Regarding the second question, Markus noted that expediting AI implementation in organizations facing regulatory challenges depends on government approvals and internal decision-making processes. Intense discussions within organizations are necessary to evaluate the benefits, risks, and unique considerations of AI implementation.
Harnessing the Power of AI in Learning Design: Efficiency and Data Privacy Considerations
Another insight was from Luke Goodwin’s group which inquired about the use of AI, particularly Chat GPT, in learning design. Markus highlighted the efficiency improvements achieved through AI, but also raised concerns about data privacy, especially when dealing with proprietary information. He stressed the importance of individual responsibility in protecting proprietary data and data privacy.
Danielle expressed gratitude for the discussion and encouraged further conversation and learning within the AI + Learning & Development Community of Practice. She shared additional resources, including podcasts and articles, and invited participants to sign up for the next session, with the aim of upskilling, navigating, and driving positive change in the field of AI and learning and development together.
Danielle expressed gratitude for the discussion and encouraged further conversation and learning within the AI + Learning & Development Community of Practice. There’s more everyone can learn, including from a recent Podcast of Markus Bernhardt on the Learning Hack. She shared additional resources, including podcasts and articles, and invited participants to sign up for the next session, with the aim of upskilling, navigating, and driving positive change in the field of AI and learning and development together.