312 citations
Counting papers with at most 25 authors, so collaboration author lists do not stand in for the people here.
- Centre for the Governance of AI3 papers
- University of Hong KongHK2 papers
- AIR Worldwide (United Kingdom)GB1 paper
- Ames Research CenterUS1 paper
- Carleton UniversityCA1 paper
- Center for Economic and Policy ResearchUS1 paper
- Chinese Academy of SciencesCN1 paper
- Czech Academy of Sciences, Heyrovsky InstituteCZ1 paper
- Epoch Biosciences (United States)US1 paper
- European Space Research and Technology CentreNL1 paper
- George Mason UniversityUS1 paper
- Hertie SchoolDE1 paper
10 papers
Structural Dissolution: How Artificial Intelligence Dismantles Coordination Architecture and Reconfigures the Political Economy of Production
Chao Li, Chunyi Zhao
This paper introduces the Structural Dissolution Framework to explain how artificial intelligence restructures the coordination architecture of traditional industries. We argue tha…
ArchMap: Arch-Flattening and Knowledge-Guided Vision Language Model for Tooth Counting and Structured Dental Understanding
Bohan Zhang, Yiyi Miao, Taoyu Wu +6
A structured understanding of intraoral 3D scans is essential for digital orthodontics. However, existing deep-learning approaches rely heavily on modality-specific training, large…
Designing Incident Reporting Systems for Harms from General-Purpose AI
Kevin Wei, Lennart Heim
We introduce a conceptual framework and provide considerations for the institutional design of AI incident reporting systems, i.e., processes for collecting information about safet…
Leveraging the Potential of Prompt Engineering for Hate Speech Detection in Low-Resource Languages
Ruhina Tabasshum Prome, Tarikul Islam Tamiti, Anomadarshi Barua
The rapid expansion of social media leads to a marked increase in hate speech, which threatens personal lives and results in numerous hate crimes. Detecting hate speech presents se…
On Regulating Downstream AI Developers
Sophie Williams, Jonas Schuett, Markus Anderljung
Foundation models - models trained on broad data that can be adapted to a wide range of downstream tasks - can pose significant risks, ranging from intimate image abuse, cyberattac…
From Principles to Rules: A Regulatory Approach for Frontier AI
Jonas Schuett, Markus Anderljung, Alexis Carlier +2
Several jurisdictions are starting to regulate frontier artificial intelligence (AI) systems, i.e. general-purpose AI systems that match or exceed the capabilities present in the m…
Large Legal Fictions: Profiling Legal Hallucinations in Large Language Models
Matthew Dahl, Varun Magesh, Mirac Suzgun +1
Do large language models (LLMs) know the law? These models are increasingly being used to augment legal practice, education, and research, yet their revolutionary potential is thre…
Compute Trends Across Three Eras of Machine Learning
Jaime Sevilla, Lennart Heim, Anson Ho +3
Compute, data, and algorithmic advances are the three fundamental factors that guide the progress of modern Machine Learning (ML). In this paper we study trends in the most readily…
Mars: new insights and unresolved questions
Hitesh G. Changela, Elias Chatzitheodoridis, Andre Antunes +33
Mars exploration motivates the search for extraterrestrial life, the development of space technologies, and the design of human missions and habitations. Here we seek new insights…
AI Certification: Advancing Ethical Practice by Reducing Information Asymmetries
Peter Cihon, Moritz J. Kleinaltenkamp, Jonas Schuett +1
As artificial intelligence (AI) systems are increasingly deployed, principles for ethical AI are also proliferating. Certification offers a method to both incentivize adoption of t…