AI Policy Perspectives

AI tutors should not approximate human tutors

5 principles of learning science

Nov 10 • 

AI Policy Perspectives

19

6

What does the public really think about AI?

15 claims I think are (currently) true

Nov 6 • 

Harry Law

11

6

3

October 2025

AI Policy Primer (#22)

Agent economies, science, political misinformation & fellowships

Oct 31 • 

Conor Griffin

, 

Tom Rachman

, and 

Julian Jacobs

24

1

2

Explaining AI explainability

A discussion with Been Kim and Neel Nanda

Oct 23 • 

Conor Griffin

 and 

AI Policy Perspectives

25

3

1

Science 2030

Designing role-playing games to help AI governance

Oct 9 • 

AI Policy Perspectives

 and 

Zoë Brammer

18

What history can tell us about AI's economic impact

A discussion with Carl Frey

Oct 2 • 

Julian Jacobs

23

2

6

September 2025

Coasean Bargaining at Scale

Decentralisation, coordination, and co-existence with AGI

Sep 29 • 

Séb Krier

35

9

4

What will AI look like in 2030?

AI could improve productivity in valuable areas such as scientific R&D, as investments and energy requirements grow

Sep 17 • 

David Owen

22

1

Three challenges facing compute-based AI policies

“Training compute” is constantly evolving, and compute-based AI policies must adapt to remain relevant

Sep 12 • 

Venkat Somala

, 

Séb Krier

, and 

Anson Ho

24

3

August 2025

5 interesting AI Safety & Responsibility papers (#2)

What we're reading

Aug 27 • 

AI Policy Perspectives

, 

Julian Jacobs

, and 

Conor Griffin

14

2

AI Policy Primer (#21)

Expertise, metascience & cognitive debt

Aug 15 • 

AI Policy Perspectives

, 

Conor Griffin

, and 

Julian Jacobs

25

5

10

A discussion with Tyler Cowen

How Tyler's views on AI have evolved over the past two years

Aug 5 • 

AI Policy Perspectives

 and 

Zhengdong Wang

67

4

12

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