AI Tools for Researchers, Patterns vs. Insights, and When to Trust AI Output: Q&A with Angela Kochoska

About this episode

Angela Kochoska discusses the responsible use of AI in research and answers audience questions.

Angela Kochoska, Design Researcher and Data Scientist at IDEO and co-instructor in IDEO U's new course, Human-Centered Research with AI, joins Mina to answer your questions on how to responsibly and effectively use AI in the research process.  After her co-instructor Hannah Rosenfeld’s episode on using AI in human-centered research, our audience had so many great questions. We dedicated an entire episode to answering them. How do you stop AI from flattening nuance? How do you know when you've outsourced your thinking instead of augmenting it? When does AI-assisted synthesis become a real insight, and when doesn't it? What does good prompting actually look like in a research context? Angela brings a perspective that's rare: she came to design research from a PhD in astrophysics and years building machine learning models for NASA and the European Space Agency. She knows how LLMs actually work, and she also knows why the conversation you have with your team in a coffee shop after a field interview still produces insights no model can replicate. If you haven't heard Hannah's episode yet, it's a great place to start. If you have, this is the conversation that goes deeper into the…

People in this episode

Host: Mina

Guest: Angela Kochoska

Topics covered

• AI in research
• human-centered design
• data science
• machine learning
• design research
• responsible AI use

Keywords

• AI tools
• research process
• design research
• human-centered research
• machine learning models
• insights
• prompting

Mentioned in this episode

Organizations: IDEO, NASA, European Space Agency, IDEO U

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