Date: 8/30/2025
Panelists: Barb Potter, Dr. Victoria Brown
Tags: AI workgroup, AI, talent development
AI Generated Summary:
The AI workgroup kickoff meeting focused on exploring and leveraging AI tools for talent development professionals. During the meeting, participants discussed various aspects of AI usage, including prompt engineering, ethical considerations, and technical limitations, while breakout rooms were organized for more focused discussions.
AI Tools for Talent Development
Panelists discussed their impressions of large language model outputs, noting that while the information was basic, it provided a good starting point for those new to AI. They identified missing concepts such as content acceleration, ideation nuances, and bias sources in AI. The panelists also shared their experiences with prompt engineering and the limitations of AI in creating new ideas versus regurgitating patterns. The conversation ended with a discussion on refining AI definitions and the importance of context in AI outputs.
AI Prompt Strategies and Ethics
The group discussed how prompts influence AI responses, with Barb Potter and Dr. Brown sharing their experiences using AI tools like ChatGPT. They noted that AI can learn user preferences and styles but emphasized the importance of starting with personal input and iterating. Dr. Brown highlighted that AI could reflect user search patterns and suggested being critical of AI-generated content, while Barb shared strategies for crafting effective prompts, including being specific about audience and format. The discussion concluded with Dr. Brown and Steve Yudewitz stressing the need for due diligence when using AI, such as verifying sources and ensuring accuracy.
AI Tools Breakout Room Organization
The meeting focused on organizing participants into breakout rooms for discussions on AI tools, with George Romagosa and Steve explaining the process and assigning rooms to Barb, Dr. Brown, and Victoria Brenes. After the breakout sessions, participants reconvened for a general discussion and QA session
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