How I AI How an MIT Research Scientist Makes AI Useful
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Jan 20, 2026 In this discussion, Bryan Reimer, an MIT Research Scientist with over two decades in human-centered technology, explores how AI can enhance rather than replace human skills. He emphasizes the importance of understanding real user behavior through observation rather than assumptions. Bryan critiques the rush toward tech-first AI strategies, urging a consumer-first mindset. He also shares his insights on using tools like ChatGPT as collaborative partners and warns against skill atrophy due to over-automation, advocating for thoughtful integration of AI in our lives.
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Design AI To Amplify Humans
- Bryan Reimer emphasizes designing AI to amplify human expertise rather than replace it.
- He argues usefulness depends on how technology integrates with human behavior and systems.
Start With Use Cases Not Hype
- Avoid a technology-first mindset and start with clear use cases and ROI.
- Define the systems around AI before rushing to implement it so it actually enhances business and life.
Observe People Before Designing
- Watch real people in context to learn how they'll actually behave with technology.
- Use observation to design gentle nudges and incentives rather than telling people what to do.
