Evolutionary Computation and AI Safety

Created by W.Langdon from gp-bibliography.bib Revision:1.8051

@InProceedings{Lehman:2019:GPTP,

• author = "Joel Lehman",
• title = "Evolutionary Computation and {AI} Safety",
• booktitle = "Genetic Programming Theory and Practice XVII",
• year = "2019",
• editor = "Wolfgang Banzhaf and Erik Goodman and Leigh Sheneman and Leonardo Trujillo and Bill Worzel",
• pages = "181--200",
• address = "East Lansing, MI, USA",
• month = "16-19 " # may,
• publisher = "Springer",
• keywords = "genetic algorithms, genetic programming",
• isbn13 = "978-3-030-39957-3",
• DOI = "doi:10.1007/978-3-030-39958-0_10",
• abstract = "Recent developments in artificial intelligence and machine learning have spurred interest in the growing field of AI safety, which studies how to prevent human-harming accidents when deploying AI systems. This paper thus explores the intersection of AI safety with evolutionary computation, to show how safety issues arise in evolutionary computation and how understanding from evolutionary computational and biological evolution can inform the broader study of AI safety.",
• notes = "Part of \cite{Banzhaf:2019:GPTP}, published after the workshop",

}

Genetic Programming entries for Joel Lehman

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