We are all data for AI. We must learn to coexist

The article discusses the integration of artificial intelligence (AI) in education, highlighting how AI-generated summaries challenge traditional teaching methods. It emphasises the importance of conceptual preparation that teachers provide students. The author also explores NLSIU's AI policy and its introduction of small group discussions, which facilitate in-person interaction between faculty and students, creating space for imagination and world-building exercises in university education.

Publication Details

Journal
eYLS (Yale Law School)
Published
2025-03-29
Primary Topic
Particle accelerators and beam dynamics
Type
article
Field-Weighted Citation Impact
0.00
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article

We are all data for AI. We must learn to coexist

eYLS (Yale Law School)
Particle accelerators and beam dynamics
article

We are all data for AI. We must learn to coexist

article en

Abstract

The article discusses the integration of artificial intelligence (AI) in education, highlighting how AI-generated summaries challenge traditional teaching methods. It emphasises the importance of conceptual preparation that teachers provide students. The author also explores NLSIU's AI policy and its introduction of small group discussions, which facilitate in-person interaction between faculty and students, creating space for imagination and world-building exercises in university education.

eYLS (Yale Law School)
Openalex Percentile: Top 35%
Particle accelerators and beam dynamics
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We are all data for AI. We must learn to coexist · eYLS (Yale Law School) (2025) | TGRS Research Map | TGRS