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Summary
We built a novel math tutoring app for 11-year-olds in the UK. Since this was our first AI project, we expected lots of technical issues. Those happened and on top of it, we ended up questioning the value of designers in AI-driven products.
Key Insights
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Understanding the inner workings of AI is crucial for effective design.
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AI design requires a new approach compared to traditional computational systems.
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Designers should not only focus on aesthetics but also on the implications of AI usage.
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Fast adaptation to technological changes can help teams navigate chaos efficiently.
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Establishing strong design principles is essential to maintain design integrity amidst rapid changes.
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The need for transparency in AI systems enhances user trust and experience.
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Ethical concerns should be at the forefront of AI implementation.
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Monitor the tangible impacts of AI both socially and environmentally to avoid future pitfalls.
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Critical thinking skills are at risk due to reliance on AI for decision-making and problem-solving.
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Design processes must incorporate feedback mechanisms to iterate quickly.
Notable Quotes
"The preparation process for the 11 Plus exam is stressful for students and families."
"Designing for AI systems is different than designing for earlier computational mediums."
"When using AI, we have to design alternatives quickly due to rapid technological advancements."
"These systems inject copyrighted material, taking away someone's livelihood."
"AI companies don't hesitate to create permanent health issues in vulnerable communities."
"We realized that precision is no longer possible in the age of AI."
"Like plastics, AI can help produce mediocrity over quality."
"This potential of AI is exciting, but we need to be aware of its invisible costs."
"We should not buy into everything that AI pushes to us without scrutiny."
"We must be careful to not let hype overshadow the ethical concerns surrounding AI."
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