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1.

Why are we using black box models in AI when we don’t need to? (2019)

hdsr.mitpress.mit.edu

6 years ago

351 points

2.

Precision Medicine and Its Imprecise History (2020)

hdsr.mitpress.mit.edu

3 years ago

30 points

3.

Beware the Intention Economy: Collection and Commodification of Intent via LLMs

hdsr.mitpress.mit.edu

a year ago

28 points

4.

Computers Learning Humor Is No Joke

hdsr.mitpress.mit.edu

5 years ago

5 points

5.

Comments on Michael Jordan’s Essay “The AI Revolution Hasn’t Happened Yet”

hdsr.mitpress.mit.edu

7 years ago

3 points

6.

An Investigation into Probabilities of Streaks in Online Chess

hdsr.mitpress.mit.edu

a year ago

3 points

7.

We Should Do More Direct Replications in Science

hdsr.mitpress.mit.edu

2 years ago

3 points

8.

A Unified Framework of Five Principles for AI in Society

hdsr.mitpress.mit.edu

7 years ago

3 points

9.

Authorship Attribution in Lennon-McCartney Songs Using ML

hdsr.mitpress.mit.edu

7 years ago

3 points

10.

Data Have a Limited Shelf Life

hdsr.mitpress.mit.edu

a year ago

2 points

11.

Science Has a Replication Problem

hdsr.mitpress.mit.edu

2 years ago

2 points

12.

What Should Data Science Education Do with Large Language Models?

hdsr.mitpress.mit.edu

2 years ago

2 points

13.

What Should Data Science Education Do with Large Language Models? (2024)

hdsr.mitpress.mit.edu

2 years ago

2 points

14.

Fix the lack of transparency around the data used to train foundation models

hdsr.mitpress.mit.edu

3 years ago

2 points

15.

Interleaving Computational and Inferential Thinking

hdsr.mitpress.mit.edu

3 years ago

2 points

16.

Why Are We Using Black Box Models in AI When We Don’t Need To?

hdsr.mitpress.mit.edu

4 years ago

2 points

17.

Ten Research Challenge Areas in Data Science

hdsr.mitpress.mit.edu

6 years ago

2 points

18.

Ten Research Challenge Areas in Data Science

hdsr.mitpress.mit.edu

6 years ago

2 points

19.

Why are we using black box models in AI when we don't need to?

hdsr.mitpress.mit.edu

6 years ago

2 points

20.

Why Are We Using Black Box Models in AI When We Don’t Need To? (2019)

hdsr.mitpress.mit.edu

6 years ago

2 points

21.

Measuring the GDP: The Ultimate Data Science Project

hdsr.mitpress.mit.edu

6 years ago

2 points

22.

Should We Trust Algorithms?

hdsr.mitpress.mit.edu

6 years ago

2 points

23.

A New Issue of Harvard Data Science Review (2.1) Now Online

hdsr.mitpress.mit.edu

6 years ago

2 points

24.

Harvard Data Science Review: A Microscopic, Telescopic, and Kaleidoscopic View

hdsr.mitpress.mit.edu

7 years ago

2 points

25.

Artificial Intelligence–The Revolution Hasn’t Happened yet by Michael I. Jordan

hdsr.mitpress.mit.edu

7 years ago

2 points

26.

Online Experimentation: Benefits, Operational and Methodological Challenges

hdsr.mitpress.mit.edu

4 years ago

1 points

27.

Covid-19: Unprecedented Challenges and Chances

hdsr.mitpress.mit.edu

6 years ago

1 points

28.

Data Science in Heavy Industry and the Internet of Things

hdsr.mitpress.mit.edu

6 years ago

1 points

29.

Differential Privacy and Social Science: An Urgent Puzzle

hdsr.mitpress.mit.edu

6 years ago

1 points

30.

Taking Up the Revolutionary Call: Principles to Guide a Purpose-Driven AI Future

hdsr.mitpress.mit.edu

7 years ago

1 points