Artificial Intelligence: Approaches to Safety

Fuente: Wiley Open Access
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Hauptverfasser: William D'Alessandro, Cameron Domenico Kirk‐Giannini
Format: Artículo Open Access
Veröffentlicht: Wiley 2025
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author William D'Alessandro
Cameron Domenico Kirk‐Giannini
author_facet William D'Alessandro
Cameron Domenico Kirk‐Giannini
William D'Alessandro
Cameron Domenico Kirk‐Giannini
collection Wiley Open Access
contents Artificial Intelligence: Approaches to Safety William D'Alessandro Cameron Domenico Kirk‐Giannini Philosophy Compass ABSTRACT AI safety is an interdisciplinary field focused on mitigating the harms caused by AI systems. We review a range of research directions in AI safety, focusing on those to which philosophers have made or are in a position to make the most significant contributions. These include ethical AI , which seeks to instill human goals, values, and ethical principles into artificial systems, scalable oversight , which seeks to develop methods for supervising the activity of artificial systems even when they become significantly more capable than their human designers, interpretability , which seeks to render comprehensible the workings of complex machine learning models, and corrigibility , which seeks to discover ways to ensure that powerful AI systems will not resist being shut down or modified by humans. 10.1111/phc3.70039 http://creativecommons.org/licenses/by-nc-nd/4.0/
doi_str_mv 10.1111/phc3.70039
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id wiley_oa_10_1111_phc3_70039
institution Wiley Open Access
license_str_mv http://creativecommons.org/licenses/by-nc-nd/4.0/
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spellingShingle Artificial Intelligence: Approaches to Safety
William D'Alessandro
Cameron Domenico Kirk‐Giannini
Philosophy Compass
Artificial Intelligence: Approaches to Safety William D'Alessandro Cameron Domenico Kirk‐Giannini Philosophy Compass ABSTRACT AI safety is an interdisciplinary field focused on mitigating the harms caused by AI systems. We review a range of research directions in AI safety, focusing on those to which philosophers have made or are in a position to make the most significant contributions. These include ethical AI , which seeks to instill human goals, values, and ethical principles into artificial systems, scalable oversight , which seeks to develop methods for supervising the activity of artificial systems even when they become significantly more capable than their human designers, interpretability , which seeks to render comprehensible the workings of complex machine learning models, and corrigibility , which seeks to discover ways to ensure that powerful AI systems will not resist being shut down or modified by humans. 10.1111/phc3.70039 http://creativecommons.org/licenses/by-nc-nd/4.0/
title Artificial Intelligence: Approaches to Safety
topic Philosophy Compass
url https://compass.onlinelibrary.wiley.com/doi/10.1111/phc3.70039