Abstract
Get full access to this article
View all access options for this article.
References
1.
Dhar
V
. The scope and challenges for deep learning . Big Data , 2015 ; 3 :127 –129 .
2.
Domingos
P
. The Master Algorithm . New York : Basic Books , 2015 .
3.
Dhar
V
. Data science and prediction . Commun ACM , 2013 ; 56 :64 –73 .
4.
Popper
K
. Conjectures and Refutations: The Growth of Scientific Knowledge . London : HarperCollins , 1968 .
5.
Pearl
J
. Causality: models, reasoning and inference . Econometr Theor , 2003 ; 19 :675 –685 .
6.
Chow
D
. Google Self-Driving Car at Fault for Bus Crash . March 3 , 2016 , Yahoo! News . Available online at: http://news.yahoo.com/google-self-driving-car-fault-bus-crash-181054217.html
7.
Wiener
N
. Some moral and technical consequences of automation . Science , 1960 ; 131 :1355 –1358 .
8.
Chen
D
,
Fraiberger
S
,
Moakler
R
,
Provost
F
Enhancing Transparency and Control When Drawing Data-Driven Inferences about People, May 2015, NYU Working Paper No. 2451/33969 . Available online at: http://ssrn.com/abstract=2611542
9.
Singh
S
,
Lewis
R
,
Barto
A
Intrinsically motivated reinforcement learning: an evolutionary perspective . IEEE Trans Auton Ment Dev , 2010 ; 2 :70 –82 .
10.
Brynjolfsson
E
,
McAfee
A
Will humans go the way of horses? . Foreign Aff , 2015 ; 94 :8 –14 .
11.
Scherer
M
. On subjectivity, AI systems, and legal decision-making . Available online at www.lawandai.com/2016/02/21/on-subjectivity-ai-systems-and-legal-decision-making/ (last accessed February 21 , 2016
12.
Russell
S
. Unifying logic and probability . Commun ACM , 2015 :58 :88 –97 .