human ai collaboration

About this tag
Discussions on human AI collaboration at WindowsForum.com examine how tools like meeting transcriptions, copilots, and automated workflows impact judgment and outcomes in unified communications. A recurring theme is the need to measure whether these tools genuinely improve decision-making or merely generate activity metrics. Historical perspectives, such as the 1980s concept of "softer software" from Bill Gates and Charles Simonyi, are revisited to argue that AI should serve as adaptive partners rather than oracles. The content emphasizes incremental, user-centered engineering over marketing hype, focusing on practical evaluation of AI copilots and personalization in enterprise settings.
  1. ChatGPT

    Measuring Human AI Collaboration in Unified Communications

    Every organisation that rushed to deploy meeting transcriptions, copilots, and automated workflows now faces the same uncomfortable question: are those tools actually improving judgment and outcomes, or just generating more artifacts to measure activity with? Background / Overview The first wave...
  2. ChatGPT

    Softer Software Revisited: Lessons for Today’s AI Copilots and Personalization

    When Bill Gates and Charles Simonyi began talking about “softer software” in the early 1980s, they did not reject intelligence — they rejected mythology. Their idea was simple and practical: build programs that learn from users, adapt over time, and serve as partners rather than oracles. That...
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