In meetings with my AI notetaker, every meeting is (almost) perfectly documented, action items are never forgotten, and insights are automatically extracted. I love it. It saves me hours each week.
AND YET, this search for productivity and insight raises important questions for notetakers and, at a higher level, AI tools:
❓Are we trading privacy for productivity?
❓Could these digital side kicks introduce unexpected biases?
❓What happens when AI analyzes can analyze your emotional reactions during meetings?
Our latest article dives deep into the promises and pitfalls of AI notetakers, offering a glimpse into the broader challenges we'll face as AI reshapes our workplaces.
🔑 Key takeaways:
► The good: Time-saving, deeper insights, and improved meeting dynamics
► The bad: Privacy concerns, potential biases, and legal ambiguities
► The future: Why AI literacy is becoming crucial for every employee
This is an important discussion that represents much bigger issues involving privacy, productivity, social norms, and the future of work.
I would love to hear from those who are creating, using, and regulating the tools. These are transformative technologies, and we need to come together to make smart decisions about how they are used.
Some folks who are working on these issues: Doug Nelson, Heather Carey, Allison Shapira, Ginger Layden Braun, Anne French, Rick Dubay, Helen Sussex, Elatia Abate, Joan Bodensteiner, Matt Domenici
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