How Risky Are Open Frontier Models?
Identification
- Public canonical key
- radar:r-3ad1e9ea147b5cd3e400509abb5e47f3
- Authors
- Sébastien Krier · Harry Law · Kevin Klyman
- Reported year
- 2025
- Reported language
- en
- Source type
- book-chapter
- First detected
- 2026-11-14T02:16:53.707393+00:00
- Last metadata observation
- 2026-11-14T02:16:53.707393+00:00
- Last HTTP verification
- Not checked
Institutions reported by the source
Google DeepMind (United Kingdom) · Stanford University
Reported affiliation countries
GB · US
Documentary abstract — original language
Abstract This chapter explores the complexities of providing access to frontier AI models. It weighs the potential benefits of open approaches, such as enhanced researcher access and transparency, against potential risks like cybersecurity threats and toxic content generation. The chapter argues that while the benefits provided by today’s open-weight models outweigh the risks, it may be difficult to forecast how the risk profile of open-weight models may change in future. It emphasizes the need to contextualize potential risks associated with open weights within the broader AI and technological landscape. Given the rapid pace of advancements in AI capabilities and commercialization, the chapter advocates for a nuanced approach to AI policy and open source. AI policy should encourage openness while proactively addressing risks through measures such as transparency requirements and safety evaluations.
Identifiers
- OPENALEX
- https://openalex.org/W4410611439
- DOI
- 10.1093/oxfordhb/9780198940272.013.0023
Documentary context
- Documentary family
- Book chapter
- Source-reported types
- book-chapter
- Publishers
- Oxford University Press
Entity mentions are not evidence of legal recognition. Jurisdiction studied is separate from author affiliation country.
Book bibliographic description
- Publisher
- Oxford University Press
- Reported publication date
- 2025-05-22
Access status unknown
Sources
OpenAlex · Record 1
Cite this reference
Sébastien Krier; Harry Law; Kevin Klyman. How Risky Are Open Frontier Models?. 2025. Oxford University Press. https://doi.org/10.1093/oxfordhb/9780198940272.013.0023
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APA, Chicago, ISO 690: bibliographic formats using available fields. OSCOLA / Bluebook: structured data only; full legal citation compliance is not claimed without verification of required elements.
- APA
- Sébastien Krier; Harry Law; Kevin Klyman. (2025). How Risky Are Open Frontier Models?. Oxford University Press. https://doi.org/10.1093/oxfordhb/9780198940272.013.0023
- Chicago
- Sébastien Krier; Harry Law; Kevin Klyman. How Risky Are Open Frontier Models?. Oxford University Press. 2025. https://doi.org/10.1093/oxfordhb/9780198940272.013.0023
- ISO 690
- Sébastien Krier; Harry Law; Kevin Klyman. How Risky Are Open Frontier Models?. 2025. Oxford University Press. https://doi.org/10.1093/oxfordhb/9780198940272.013.0023
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UDTR Global Rights of Nature Legal Library. How Risky Are Open Frontier Models?. Documentary record: https://www.declarationuniverselledesdroitsdelarbre.org/global-rights-of-nature-radar/reference/r-3ad1e9ea147b5cd3e400509abb5e47f3/ · Last HTTP verification: not performed
Research dossiers and documentary relations
Source roles
Bibliographic / original publication source · https://doi.org/10.1093/oxfordhb/9780198940272.013.0023
An authority link alone does not verify a legal claim. Abstracts and full texts remain subject to their source terms.
Documentary status
Relevance pending
Library
This identity is not yet included in the Legal Library.