# pace of AI progress

Published articles for pace of AI progress.

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## 3 Questions: What is the best path forward for AI in academia?

DevFeed: [3 Questions: What is the best path forward for AI in academia?](<https://devfeed.tech/articles/3-questions-what-is-the-best-path-forward-for-ai-in-academia-77424.md>)

Original publisher: [Read original article](<https://news.mit.edu/2026/3-questions-what-best-path-forward-ai-academia-0925>)

Author: Stefanie Koperniak | Institute for Data, Systems, and Society

Published: 2026-10-08T21:25:00Z

Content type: opinion

Language: en

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

Topics: [AI Integration Strategies](<https://devfeed.tech/topics/ai-integration-strategies.md>), [AI Chat](<https://devfeed.tech/topics/ai-chat.md>), [Data science and engineering](<https://devfeed.tech/topics/data-science-and-engineering.md>), [AI Context Management](<https://devfeed.tech/topics/ai-context-management.md>)

Tags: [3-questions](<https://devfeed.tech/tags/3-questions.md>), [academia](<https://devfeed.tech/tags/academia.md>), [ai](<https://devfeed.tech/tags/ai.md>), [ai-in-academic](<https://devfeed.tech/tags/ai-in-academic.md>), [ai-research](<https://devfeed.tech/tags/ai-research.md>), [artificial-intelligence](<https://devfeed.tech/tags/artificial-intelligence.md>), [brain-and-cognitive-sciences](<https://devfeed.tech/tags/brain-and-cognitive-sciences.md>), [computer-science-and-technology](<https://devfeed.tech/tags/computer-science-and-technology.md>), [education-teaching-academics](<https://devfeed.tech/tags/education-teaching-academics.md>), [engineering](<https://devfeed.tech/tags/engineering.md>), [faculty](<https://devfeed.tech/tags/faculty.md>), [idss](<https://devfeed.tech/tags/idss.md>), [interview](<https://devfeed.tech/tags/interview.md>), [mit](<https://devfeed.tech/tags/mit.md>), [mit-faculty-interview](<https://devfeed.tech/tags/mit-faculty-interview.md>), [mit-idss](<https://devfeed.tech/tags/mit-idss.md>), [mit-schwarzman-college-of-computing](<https://devfeed.tech/tags/mit-schwarzman-college-of-computing.md>), [mit-statistics-and-data-science-center-sdsc](<https://devfeed.tech/tags/mit-statistics-and-data-science-center-sdsc.md>), [pace-of-ai-progress](<https://devfeed.tech/tags/pace-of-ai-progress.md>), [sasha-rakhlin](<https://devfeed.tech/tags/sasha-rakhlin.md>), [school-of-engineering](<https://devfeed.tech/tags/school-of-engineering.md>), [school-of-science](<https://devfeed.tech/tags/school-of-science.md>), [science](<https://devfeed.tech/tags/science.md>), [statistics](<https://devfeed.tech/tags/statistics.md>), [technology-and-society](<https://devfeed.tech/tags/technology-and-society.md>)

### AI overview

Sasha Rakhlin argues that universities should rethink research evaluation and graduate training as AI takes on more research tasks. He proposes documenting experimental workflows, failures, and tacit knowledge, then connecting laboratories through shared AI systems, while investing in compute, secure data systems, and model expertise.

### Source excerpt

MIT Statistics and Data Science Center Director Alexander (Sasha) Rakhlin shares important considerations for departments and institutions.