Good Under the Hood?

When facing dilemmas, AI needs “moral competence”

May 7 • Julia Haas and Tom Rachman

13

2

3

April 2026

Science Needs AI Data Stocktakes

A proof-of-concept for fusion energy

Apr 30 • Conor Griffin, Don Wallace, and Theo Brown

18

9

7

Q&A with Ethan Mollick

"People like AI when they use it themselves; they don’t like AI writ large"

Apr 22 • Tom Rachman

16

1

6

AI Agents Running the State

What could possibly go wrong?

Apr 15 • AI Policy Perspectives

29

1

7

AI Policy Primer (#24)

Identifying agents, self-improvement, and artificial clouds

Apr 9 • Conor Griffin

18

2

2

March 2026

How Tech Changed Chess

And why AI won’t end our games

Mar 25 • AI Policy Perspectives

16

1

The Past and Future of AI Standards

Lessons from history

Mar 17 • Conor Griffin

19

2

2

4 Interesting AI Safety & Responsibility Papers (#4)

What we're reading

Mar 4 • Conor Griffin

13

1

3

February 2026

Ghosts: The AI Afterlife

A digital “you” could persist after death. But what happens in a haunted future?

Feb 18 • AI Policy Perspectives

9

1

The Human Demotion

Science has humbled us before. Will AI deliver another blow?

Feb 11 • Tom Rachman

37

14

8

AI Manipulation

A discussion with Sasha Brown, Seliem El-Sayed, and Canfer Akbulut

Feb 5 • Tom Rachman

21

2

2

January 2026

Predicting AI’s Impact on Jobs

A discussion with economist Sam Manning

Jan 29 • Julian Jacobs

24

5