Responsible Reporting for Frontier AI Development

Fuente: arXiv
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Autores principales: Kolt, Noam, Anderljung, Markus, Barnhart, Joslyn, Brass, Asher, Esvelt, Kevin, Hadfield, Gillian K., Heim, Lennart, Rodriguez, Mikel, Sandbrink, Jonas B., Woodside, Thomas
Formato: Preprint
Publicado: 2024
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author Kolt, Noam
Anderljung, Markus
Barnhart, Joslyn
Brass, Asher
Esvelt, Kevin
Hadfield, Gillian K.
Heim, Lennart
Rodriguez, Mikel
Sandbrink, Jonas B.
Woodside, Thomas
author_facet Kolt, Noam
Anderljung, Markus
Barnhart, Joslyn
Brass, Asher
Esvelt, Kevin
Hadfield, Gillian K.
Heim, Lennart
Rodriguez, Mikel
Sandbrink, Jonas B.
Woodside, Thomas
contents Mitigating the risks from frontier AI systems requires up-to-date and reliable information about those systems. Organizations that develop and deploy frontier systems have significant access to such information. By reporting safety-critical information to actors in government, industry, and civil society, these organizations could improve visibility into new and emerging risks posed by frontier systems. Equipped with this information, developers could make better informed decisions on risk management, while policymakers could design more targeted and robust regulatory infrastructure. We outline the key features of responsible reporting and propose mechanisms for implementing them in practice.
format Preprint
id arxiv_https___arxiv_org_abs_2404_02675
institution arXiv
publishDate 2024
record_format arxiv
spellingShingle Responsible Reporting for Frontier AI Development
Kolt, Noam
Anderljung, Markus
Barnhart, Joslyn
Brass, Asher
Esvelt, Kevin
Hadfield, Gillian K.
Heim, Lennart
Rodriguez, Mikel
Sandbrink, Jonas B.
Woodside, Thomas
Computers and Society
Artificial Intelligence
Mitigating the risks from frontier AI systems requires up-to-date and reliable information about those systems. Organizations that develop and deploy frontier systems have significant access to such information. By reporting safety-critical information to actors in government, industry, and civil society, these organizations could improve visibility into new and emerging risks posed by frontier systems. Equipped with this information, developers could make better informed decisions on risk management, while policymakers could design more targeted and robust regulatory infrastructure. We outline the key features of responsible reporting and propose mechanisms for implementing them in practice.
title Responsible Reporting for Frontier AI Development
topic Computers and Society
Artificial Intelligence
url https://arxiv.org/abs/2404.02675