Machine Denunciator: How to save artificial intelligence from evil

被引：0

|

作者：

Grinbaum, A.

机构：

来源：

NOVYI MIR | 2018年 / 04期

关键词：

D O I：

暂无

中图分类号：

I0 [文学理论];

学科分类号：

0501 ; 050101 ;

摘要：

引用

收藏

页码：207 / 208

页数：2

相关论文

共 50 条

[31] Distributed artificial intelligence and machine learning - From coexistence to cooperation
Institut für Informatik, TU München, D-80290 München, Germany
Journal of Experimental and Theoretical Artificial Intelligence, 1998, 10 (03): : 287 - 289
[32] Distributed artificial intelligence and machine learning - from coexistence to cooperation
Weiss, G
JOURNAL OF EXPERIMENTAL & THEORETICAL ARTIFICIAL INTELLIGENCE, 1998, 10 (03) : 287 - 289
[33] God from the machine: Artificial intelligence models of religious cognition
Upal, M. Afzal
COGNITIVE SYSTEMS RESEARCH, 2008, 9 (03): : 232 - 235
[34] Artificial Intelligence and Firm Performance: Does Machine Intelligence Shield Firms from Risks?
Ho, Linh Tu
Gan, Christopher
Jin, Shan
Le, Bryan
JOURNAL OF RISK AND FINANCIAL MANAGEMENT, 2022, 15 (07)
[35] Artificial Intelligence: Can It Save Lives, Hospitals, and Lung Screening?
Headrick Jr, James R.
Parker, Mitchell J.
Miller, Ashley D.
ANNALS OF THORACIC SURGERY, 2024, 118 (03):
[36] Artificial Intelligence and Machine Learning in Anesthesiology
Connor, Christopher W.
ANESTHESIOLOGY, 2019, 131 (06) : 1346 - 1359
[37] Machine learning, artificial intelligence, and chemistry: how smart algorithms are reshaping simulation and the laboratory
Kuntz, David
Wilson, Angela K.
PURE AND APPLIED CHEMISTRY, 2022, 94 (08) : 1019 - 1054
[38] Trustworthy machine learning and artificial intelligence
Varshney, Kush R.
XRDS: Crossroads, 2019, 25 (03): : 26 - 29
[39] Artificial Intelligence and Machine Learning in Preeclampsia
Layton, Anita T.
ARTERIOSCLEROSIS THROMBOSIS AND VASCULAR BIOLOGY, 2025, 45 (02) : 165 - 171
[40] Probabilistic machine learning and artificial intelligence
Ghahramani, Zoubin
NATURE, 2015, 521 (7553) : 452 - 459

← 1 2 3 4 5 →