Alignment Problem
The "Alignment Problem" is a theoretical framework within the philosophy of artificial intelligence that specifies the challenge of ensuring advanced artificial agents act in accordance with human intentions, values, and ethical principles, distinguishing it from related technical control problems by its focus on normative and meta-ethical coherence in agent objectives.
292
Publications
20.8K
Citations
835
Authors
373
Institutions
Publications per year
2017–2026
105
Variants
Ai Alignment Problem
292
HMM-based word alignment in statistical translation
Stephan Vogel, Hermann Ney, Christoph Tillmann · 1996 · 833 citations · Full text
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835
University of California, Berkeley, United States
4 publications · 532 citations
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4
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3
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373
Stanford University
Stanford, United States
8 h-index
18 publications
1.8K citations

Chinese Academy of Sciences
Beijing, China
6 h-index
25 publications
1.5K citations
University of Maryland, College Park
College Park, United States
5 h-index
8 publications
698 citations
Georgia Institute of Technology
Atlanta, United States
5 h-index
13 publications
496 citations
École Polytechnique Fédérale de Lausanne
Lausanne, Switzerland
5 h-index
12 publications
352 citations
National Institutes of Health
Bethesda, United States
5 h-index
12 publications
2.8K citations
University of California, Berkeley
Berkeley, United States
5 h-index
8 publications
1.2K citations
Tokyo University of Science
Tokyo, Japan
4 h-index
8 publications
243 citations
1–8 of 373
Repository · 11 publications · 734 citations
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11 publications · 622 citations
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4 publications · 271 citations
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4 publications · 204 citations
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4 publications · 185 citations
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