Adoption in the Age of Generative AI: The Missing Jigsaw Piece

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The successful adoption of AI and generative AI hinges on addressing key challenges. This talk will explore the critical factors influencing adoption, including the importance of clear use cases, a decision-first approach, understanding human behavior, and mitigating bias. By focusing on these areas, organizations can harness the potential of AI while ensuring responsible and ethical implementation.

Key Takeaways:

  • Define clear intended use: Clearly articulate the problem AI is solving to guide development and evaluation.
  • Decision-backwards approach: Start with the desired outcome and work backward to identify the AI solution.
  • Understand human behavior: Consider how AI will interact with users and adapt accordingly to maximize adoption.
  • Mitigate bias: Proactively identify and address biases in data, algorithms, and outcomes to ensure fairness.
  • Responsible AI: Prioritize ethical considerations throughout the AI lifecycle to build trust and acceptance.

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