2025-05-05 Mon

• #Effective AI product development - #Ideation and #Theory

  • #Filed
    • AI Product Development
    • Core AI Product Factors
      • • 2025-05-05 Mon
          • Core AI Product Factors of successful AI/Systems
            • #Grounded - it is anchored in reality, using insights and primary source quotes from key identified SMEs in the context where appropriate
            • #Useful - it provides a meaningful net benefit to the participant's life
            • #Intentional - it is perceived by human participant to be intentionally designed for their benefit
          • Other Candidates of important factors
            • #Authentic - An AI product should be designed with a deep understanding of the target audience's needs and experiences
    • AI Product Development Roles
      • • Subject Matter Expert (SMEs) vs Subject Matter Translators (SMTs)
          • SME - their experience grounds the AI/System like a "primary source document"
          • SMT - they are the one helping translate the experience of the expert into the AI system
          • #Example from #EdTech
            • Ed/Professor is the #SME
            • Course/Author is the #SMT
      • two types of "elicitation"
        • deep elicitation - when SMTs take care to embed knowledge from quotes from SMEs that lend authenticity, insight and groundedness to an interaction, like a Primary Source Document
        • simulated elicitation - when SMTs honor the spirit of the thoughts and experiences of the SMEs with AI system design, taking more of an interpretive leap