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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)
351 points
Hooke
6 years ago
193 comments
2.
▲
Precision Medicine and Its Imprecise History (2020)
(hdsr.mitpress.mit.edu)
30 points
apollinaire
3 years ago
2 comments
3.
▲
Beware the Intention Economy: Collection and Commodification of Intent via LLMs
(hdsr.mitpress.mit.edu)
28 points
yoonseokang
a year ago
4 comments
4.
▲
Computers Learning Humor Is No Joke
(hdsr.mitpress.mit.edu)
5 points
anarbadalov
5 years ago
discuss
5.
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Comments on Michael Jordan’s Essay “The AI Revolution Hasn’t Happened Yet”
(hdsr.mitpress.mit.edu)
3 points
KKKKkkkk1
7 years ago
1 comment
6.
▲
An Investigation into Probabilities of Streaks in Online Chess
(hdsr.mitpress.mit.edu)
3 points
aw1621107
a year ago
discuss
7.
▲
We Should Do More Direct Replications in Science
(hdsr.mitpress.mit.edu)
3 points
jseliger
2 years ago
discuss
8.
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A Unified Framework of Five Principles for AI in Society
(hdsr.mitpress.mit.edu)
3 points
headalgorithm
7 years ago
discuss
9.
▲
Authorship Attribution in Lennon-McCartney Songs Using ML
(hdsr.mitpress.mit.edu)
3 points
ahomentc
7 years ago
discuss
10.
▲
Data Have a Limited Shelf Life
(hdsr.mitpress.mit.edu)
2 points
sebg
a year ago
discuss
11.
▲
Science Has a Replication Problem
(hdsr.mitpress.mit.edu)
2 points
BessS
2 years ago
discuss
12.
▲
What Should Data Science Education Do with Large Language Models?
(hdsr.mitpress.mit.edu)
2 points
Anon84
2 years ago
discuss
13.
▲
What Should Data Science Education Do with Large Language Models? (2024)
(hdsr.mitpress.mit.edu)
2 points
dr_kiszonka
2 years ago
discuss
14.
▲
Fix the lack of transparency around the data used to train foundation models
(hdsr.mitpress.mit.edu)
2 points
hhs
2 years ago
discuss
15.
▲
Interleaving Computational and Inferential Thinking
(hdsr.mitpress.mit.edu)
2 points
noelwelsh
3 years ago
discuss
16.
▲
Why Are We Using Black Box Models in AI When We Don’t Need To?
(hdsr.mitpress.mit.edu)
2 points
behnamoh
4 years ago
discuss
17.
▲
Ten Research Challenge Areas in Data Science
(hdsr.mitpress.mit.edu)
2 points
shirappu
6 years ago
discuss
18.
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Ten Research Challenge Areas in Data Science
(hdsr.mitpress.mit.edu)
2 points
Anon84
6 years ago
discuss
19.
▲
Why are we using black box models in AI when we don't need to?
(hdsr.mitpress.mit.edu)
2 points
fanf2
6 years ago
discuss
20.
▲
Why Are We Using Black Box Models in AI When We Don’t Need To? (2019)
(hdsr.mitpress.mit.edu)
2 points
NewEntryHN
6 years ago
discuss
21.
▲
Measuring the GDP: The Ultimate Data Science Project
(hdsr.mitpress.mit.edu)
2 points
hhs
6 years ago
discuss
22.
▲
Should We Trust Algorithms?
(hdsr.mitpress.mit.edu)
2 points
hhs
6 years ago
discuss
23.
▲
A New Issue of Harvard Data Science Review (2.1) Now Online
(hdsr.mitpress.mit.edu)
2 points
infodocket
6 years ago
discuss
24.
▲
Harvard Data Science Review: A Microscopic, Telescopic, and Kaleidoscopic View
(hdsr.mitpress.mit.edu)
2 points
zeristor
7 years ago
discuss
25.
▲
Artificial Intelligence–The Revolution Hasn’t Happened yet by Michael I. Jordan
(hdsr.mitpress.mit.edu)
2 points
plg
7 years ago
discuss
26.
▲
Online Experimentation: Benefits, Operational and Methodological Challenges
(hdsr.mitpress.mit.edu)
1 point
avyfain
4 years ago
discuss
27.
▲
Covid-19: Unprecedented Challenges and Chances
(hdsr.mitpress.mit.edu)
1 point
noch
6 years ago
discuss
28.
▲
Data Science in Heavy Industry and the Internet of Things
(hdsr.mitpress.mit.edu)
1 point
dsalzman
6 years ago
discuss
29.
▲
Differential Privacy and Social Science: An Urgent Puzzle
(hdsr.mitpress.mit.edu)
1 point
wallflower
6 years ago
discuss
30.
▲
Taking Up the Revolutionary Call: Principles to Guide a Purpose-Driven AI Future
(hdsr.mitpress.mit.edu)
1 point
espeed
7 years ago
discuss
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