Summary
What’s the most important question regarding today’s theme of impact that we, as a community, need to address? We’ve asked you, you’ve spoken—and now we’ll tackle it with the aid of Frances and some of today’s speakers.
Key Insights
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The field of design is currently unstable, causing knowledge loss as practitioners move between organizations.
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Fear and misunderstanding hinder the widespread adoption of AI in design and leadership.
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Hands-on experience with AI tools is crucial to overcoming fear and understanding their true capabilities.
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AI can help manage tacit and explicit knowledge at scale, improving onboarding and organizational maturity.
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Leadership should include both proponents and skeptics of AI to better reflect user perspectives.
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Equity-focused teams are essential to measure and mitigate bias and harm in generative AI technologies.
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Historical parallels show new technologies initially cause chaos before becoming normalized tools.
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AI offers opportunities to improve accessibility, such as generating enhanced alt text for images.
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Inclusive representation in AI development ensures diverse stories are captured and technology benefits marginalized communities.
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Future leadership will leverage AI-powered knowledge management for informed, proactive business decision-making.
Notable Quotes
"Every time someone leaves, tacit knowledge walks out the door, and explicit knowledge isn’t always well documented."
"Fear is holding people back from embracing AI, and fear often comes from lack of understanding."
"AI will become just another tool we use daily, like autocorrect in emails."
"Not everyone should embrace AI; having leaders both inside and outside the AI wave helps keep the technology human."
"We’re in the stage where AI tools are used for many crazy things that aren’t very good yet."
"Get involved hands-on with AI technologies rather than judging based on media narratives."
"We need more storytelling and positive case studies about AI to reduce fear and grow adoption."
"AI can produce better alt text descriptions, improving accessibility for unsighted users."
"Product equity teams measure and address bias, gender, race issues in generative AI proactively."
"The future of AI in design is less reactionary, more data-driven, and contributes to defining business objectives."
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