# MIT faculty interview

Published articles for MIT faculty interview.

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## Q&A: Rethinking how innovation happens

DevFeed: [Q&A: Rethinking how innovation happens](<https://devfeed.tech/articles/q-a-rethinking-how-innovation-happens-37979.md>)

Original publisher: [Read original article](<https://news.mit.edu/2026/qa-eugene-fitzgerald-rethinking-how-innovation-happens-0817>)

Author: Jason Sparapani | Department of Materials Science and Engineering

Published: 2026-08-17T19:50:00Z

Content type: article

Language: en

Sources: [MIT AI News](<https://devfeed.tech/sources/mit-ai-news.md>)

Topics: [Materials science and engineering](<https://devfeed.tech/topics/materials-science-and-engineering.md>), [implementation](<https://devfeed.tech/topics/implementation.md>)

Tags: [altruistic-science](<https://devfeed.tech/tags/altruistic-science.md>), [artificial-intelligence](<https://devfeed.tech/tags/artificial-intelligence.md>), [book](<https://devfeed.tech/tags/book.md>), [books-and-authors](<https://devfeed.tech/tags/books-and-authors.md>), [business-and-management](<https://devfeed.tech/tags/business-and-management.md>), [dmse](<https://devfeed.tech/tags/dmse.md>), [economics](<https://devfeed.tech/tags/economics.md>), [engineering](<https://devfeed.tech/tags/engineering.md>), [eugene-fitzgerald](<https://devfeed.tech/tags/eugene-fitzgerald.md>), [faculty](<https://devfeed.tech/tags/faculty.md>), [fundamental-innovation](<https://devfeed.tech/tags/fundamental-innovation.md>), [future](<https://devfeed.tech/tags/future.md>), [innovation](<https://devfeed.tech/tags/innovation.md>), [interview](<https://devfeed.tech/tags/interview.md>), [invention](<https://devfeed.tech/tags/invention.md>), [invisible-engine](<https://devfeed.tech/tags/invisible-engine.md>), [misconceptions](<https://devfeed.tech/tags/misconceptions.md>), [mit-and-masdar-institute-cooperative-program](<https://devfeed.tech/tags/mit-and-masdar-institute-cooperative-program.md>), [mit-books-and-authors](<https://devfeed.tech/tags/mit-books-and-authors.md>), [mit-dmse](<https://devfeed.tech/tags/mit-dmse.md>), [mit-faculty-books](<https://devfeed.tech/tags/mit-faculty-books.md>), [mit-faculty-interview](<https://devfeed.tech/tags/mit-faculty-interview.md>), [moore-s-law](<https://devfeed.tech/tags/moore-s-law.md>), [q-a](<https://devfeed.tech/tags/q-a.md>), [research](<https://devfeed.tech/tags/research.md>), [research-commercialization](<https://devfeed.tech/tags/research-commercialization.md>), [school-of-engineering](<https://devfeed.tech/tags/school-of-engineering.md>), [semiconductor-technologies](<https://devfeed.tech/tags/semiconductor-technologies.md>), [semiconductors](<https://devfeed.tech/tags/semiconductors.md>), [singapore-mit-alliance-for-research-and-technology-smart](<https://devfeed.tech/tags/singapore-mit-alliance-for-research-and-technology-smart.md>), [strained-silicon](<https://devfeed.tech/tags/strained-silicon.md>), [strategic-research](<https://devfeed.tech/tags/strategic-research.md>), [value-creation](<https://devfeed.tech/tags/value-creation.md>)

### AI overview

MIT professor Eugene Fitzgerald discusses his book The Invisible Engine: Why Innovation Evades Control, drawing on research programs and his experience co-inventing strained silicon. He describes innovation as an intersection of science, economics, market applications, technology, implementation, and society.

### Source excerpt

In his latest book, Professor Eugene Fitzgerald examines the forces that turn breakthroughs into value -- and why innovation resists simple formulas.

## 3 Questions: Neural transparency and the future of AI design

DevFeed: [3 Questions: Neural transparency and the future of AI design](<https://devfeed.tech/articles/3-questions-neural-transparency-and-the-future-of-ai-design-37938.md>)

Original publisher: [Read original article](<https://news.mit.edu/2026/3-questions-neural-transparency-and-future-of-ai-design-0715>)

Author: Media Lab

Published: 2026-07-15T20:25:00Z

Content type: article

Language: en

Sources: [MIT AI News](<https://devfeed.tech/sources/mit-ai-news.md>)

Topics: [Artificial Intelligence](<https://devfeed.tech/topics/ai.md>), [Neural Network](<https://devfeed.tech/topics/neural-network.md>), [User Interfaces](<https://devfeed.tech/topics/user-interfaces.md>), [interface](<https://devfeed.tech/topics/interface.md>), [Language models](<https://devfeed.tech/topics/language-models.md>)

Tags: [3-questions](<https://devfeed.tech/tags/3-questions.md>), [ai](<https://devfeed.tech/tags/ai.md>), [ai-companion](<https://devfeed.tech/tags/ai-companion.md>), [ai-empathy](<https://devfeed.tech/tags/ai-empathy.md>), [ai-hallucinations](<https://devfeed.tech/tags/ai-hallucinations.md>), [ai-personalization](<https://devfeed.tech/tags/ai-personalization.md>), [ai-safety](<https://devfeed.tech/tags/ai-safety.md>), [ai-sycophancy](<https://devfeed.tech/tags/ai-sycophancy.md>), [ai-toxicity](<https://devfeed.tech/tags/ai-toxicity.md>), [algorithms](<https://devfeed.tech/tags/algorithms.md>), [anthony-baez](<https://devfeed.tech/tags/anthony-baez.md>), [apps](<https://devfeed.tech/tags/apps.md>), [artificial-intelligence](<https://devfeed.tech/tags/artificial-intelligence.md>), [behavioral-prediction](<https://devfeed.tech/tags/behavioral-prediction.md>), [character-ai](<https://devfeed.tech/tags/character-ai.md>), [chatbot-behavior](<https://devfeed.tech/tags/chatbot-behavior.md>), [computer-science-and-technology](<https://devfeed.tech/tags/computer-science-and-technology.md>), [data](<https://devfeed.tech/tags/data.md>), [ethics](<https://devfeed.tech/tags/ethics.md>), [faculty](<https://devfeed.tech/tags/faculty.md>), [human-ai-interaction](<https://devfeed.tech/tags/human-ai-interaction.md>), [human-computer-interaction](<https://devfeed.tech/tags/human-computer-interaction.md>), [interface](<https://devfeed.tech/tags/interface.md>), [interview](<https://devfeed.tech/tags/interview.md>), [language-models](<https://devfeed.tech/tags/language-models.md>), [large-language-models](<https://devfeed.tech/tags/large-language-models.md>), [machine-learning](<https://devfeed.tech/tags/machine-learning.md>), [mechanistic-interpretability](<https://devfeed.tech/tags/mechanistic-interpretability.md>), [media-lab](<https://devfeed.tech/tags/media-lab.md>), [mental-health](<https://devfeed.tech/tags/mental-health.md>), [mit-faculty-interview](<https://devfeed.tech/tags/mit-faculty-interview.md>), [mit-media-lab](<https://devfeed.tech/tags/mit-media-lab.md>), [neural](<https://devfeed.tech/tags/neural.md>), [neural-transparency](<https://devfeed.tech/tags/neural-transparency.md>), [pat-pataranutaporn](<https://devfeed.tech/tags/pat-pataranutaporn.md>), [persona-scores](<https://devfeed.tech/tags/persona-scores.md>), [persona-vectors](<https://devfeed.tech/tags/persona-vectors.md>), [personalized-ai](<https://devfeed.tech/tags/personalized-ai.md>), [research](<https://devfeed.tech/tags/research.md>), [safety](<https://devfeed.tech/tags/safety.md>), [school-of-architecture-and-planning](<https://devfeed.tech/tags/school-of-architecture-and-planning.md>), [sheer-karny](<https://devfeed.tech/tags/sheer-karny.md>), [sunburst-visualization](<https://devfeed.tech/tags/sunburst-visualization.md>), [technology-and-society](<https://devfeed.tech/tags/technology-and-society.md>), [transparency](<https://devfeed.tech/tags/transparency.md>), [users](<https://devfeed.tech/tags/users.md>)

### AI overview

An MIT Media Lab team introduces "neural transparency," an interface that visualizes internal patterns in AI models to help users anticipate how personalized chatbots may behave. The approach compares model activations associated with contrasting traits such as empathy, honesty, toxicity, hallucination, and sycophancy, then maps custom system prompts onto those behavior directions.

### Source excerpt

Assistant Professor Pat Pataranutaporn describes a new interface that lets everyday users glimpse inside an AI's neural network before their chatbot ever says a word.