The Evergreen AI Strategy: Build a Decision Operating System

 
 

00:00 The Inspiration behind 'Steal These Thoughts'

07:55 Concept of an AI Decision Operating System

15:05 The importance of context

19:40 Aligning AI with Talent and Business Outcomes

24:42 Figuring Out the Problem First

30:58 Increased and Decreased Productivity with AI

43:45 Ross's MAGIC

 

💕 Story Overview

Ross Stevenson discusses the concept of a decision operating system for AI, proposes key questions to explore, and how it can be applied to enhance workforce performance focusing on problem-solving rather than technology adoption. He shares the inspiration behind his work, 'Steal These Thoughts,' and emphasizes the importance of context in implementing AI tools. Ross also emphasizes the value of human intelligence and critical thinking in conjunction with AI technology. 


Story Takeaways

  • An AI decision operating system is a set of guiding principles to help organizations make informed decisions when implementing AI in the learning and development space. 

  • Focus on solving real problems with existing tools and avoid getting caught up in the hype of new technologies.

  • Using the five whys framework can help uncover the root cause of a problem and determine the best approach to solving it.

  • Human AI collaboration is crucial as conversational AI tools alone cannot fully understand the context and nuances of a situation.

  • AI can enhance performance in low to mid-risk tasks, such as generating ideas and data analysis, but may struggle with high-risk tasks requiring critical thinking and analytical judgment.

 
 

Disclaimer

  • The content shared is to highlight the passion and wonder of our guests. It is not professional advice. Please read our evidence-based research to help you develop your unique understanding.

  • AI technologies have been utilized to assist in creating content derived from genuine conversations. All generated material undergoes thorough human review to ensure accuracy, relevance, and quality.

 
Previous
Previous

AI Governance: Charting the Course for Responsible Innovation

Next
Next

Shaping Leaders of Tomorrow: AI, Coaching, and Bridging the Skills Gap