◍wovepaper
SearchResearchersInstitutions
Sign in
researcher

Marie Davidsen Buhl

6 papers hereh-index 588 citations6 works total

Matching runs newest-first, so older work may not be attached to this profile yet.

author position
  • first author3
  • middle author3

Across the 6 of 6 papers where every author was matched, so the position is known.

fields
  • cs.CY4
  • cs.AI2

identity via Semantic Scholar / OpenAlex

activity
20242026
most citedSafety cases for frontier AI

3 citations · 5 across the 6 of their papers we have counts for

collaborators
Showing cs.CYShow all

4 papers · 1 filter

cs.CY2025

Emerging Practices in Frontier AI Safety Frameworks

Marie Davidsen Buhl, Ben Bucknall, Tammy Masterson

As part of the Frontier AI Safety Commitments agreed to at the 2024 AI Seoul Summit, many AI developers agreed to publish a safety framework outlining how they will manage potentia…

cs.CY2025

Safety Cases: A Scalable Approach to Frontier AI Safety

Benjamin Hilton, Marie Davidsen Buhl, Tomek Korbak +1

Safety cases - clear, assessable arguments for the safety of a system in a given context - are a widely-used technique across various industries for showing a decision-maker (e.g.…

cs.CY2024★ 2 cited

Safety case template for frontier AI: A cyber inability argument

Arthur Goemans, Marie Davidsen Buhl, Jonas Schuett +4

Frontier artificial intelligence (AI) systems pose increasing risks to society, making it essential for developers to provide assurances about their safety. One approach to offerin…

cs.CY2024★ 3 cited

Safety cases for frontier AI

Marie Davidsen Buhl, Gaurav Sett, Leonie Koessler +2

As frontier artificial intelligence (AI) systems become more capable, it becomes more important that developers can explain why their systems are sufficiently safe. One way to do s…

◍wovepaper

Papers, researchers and institutions, woven together.

Explore
  • Search
  • Researchers
  • Institutions
Account
  • Library
  • Chat
Data
  • arXiv.org
  • Semantic Scholar
  • OpenAlex
  • Latest RSS
AboutContactPrivacyDevelopersllms.txtopenapi.json
Not affiliated with arXiv. Researcher data from Semantic Scholar (ODC-BY) and OpenAlex.