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AI Governance: A Research Agenda

paper

Authors

C. Gauvin-Ndiaye·T. E. Baker·P. Karan·É. Massé·M. Balli·N. Brahiti·M. A. Eskandari·P. Fournier·A. -M. S. Tremblay·R. Nourafkan

Credibility Rating

3/5
Good(3)

Good quality. Reputable source with community review or editorial standards, but less rigorous than peer-reviewed venues.

Rating inherited from publication venue: arXiv

This foundational paper by Allan Dafoe helped establish AI governance as a serious academic field and is frequently cited in discussions about international AI policy, coordination problems, and institutional responses to advanced AI risks.

Paper Details

Citations
17
0 influential
Year
2018

Metadata

Importance: 78/100arxiv preprintprimary source

Abstract

The search for room-temperature magnetocaloric materials for refrigeration has led to investigations of double perovskites. In particular, a puzzle has appeared in the La$_2$MnNiO$_6$, La$_2$MnCoO$_6$ and La$_2$MnFeO$_6$ family of compounds. They share the same crystal structure, but while La$_2$MnNiO$_6$ and La$_2$MnCoO$_6$ are ferromagnets below room temperature, La$_2$MnFeO$_6$, contrary to simple expectations, is a ferrimagnet. To solve this puzzle, we use density-functional theory calculations to investigate the electronic structure and magnetic exchange interactions of the ordered double perovskites. Our study reveals the critical role played by local electron-electron interaction in the Fe-$d$ orbital to promote the Fe$^{3+}$ valence state with half-filled $d$-shell over Fe$^{2+}$ and to establish a ferrimagnetic ground state for La$_2$MnFeO$_6$. The importance of Hund's coupling and Jahn-Teller distortion on the Mn$^{4+}$ ion is also pointed out. Exchange constants are extracted by comparing different magnetically ordered states. Mean-field and classical Monte-Carlo calculations on the resulting model give trends in $T_C$ that are in agreement with experiments on this family of materials.

Summary

Allan Dafoe's 2018 paper lays out a comprehensive research agenda for AI governance, identifying key challenges and open questions around how humanity can govern the development and deployment of advanced AI systems. It covers topics ranging from technical safety to international coordination and institutional design.

Key Points

  • Argues that AI governance is a distinct and critical field requiring interdisciplinary research spanning technical, political, and social dimensions.
  • Identifies key problem areas including preventing catastrophic risks, managing the geopolitical dynamics of AI competition, and building effective institutions.
  • Emphasizes the importance of international coordination mechanisms to avoid race-to-the-bottom dynamics among AI-developing nations.
  • Calls for proactive engagement between AI researchers, policymakers, and social scientists to shape governance frameworks before crises emerge.
  • Provides a structured map of governance challenges to help researchers identify where their work can have the most impact.

Cited by 1 page

PageTypeQuality
AI Safety Research Allocation ModelAnalysis65.0

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# Electronic and Magnetic Properties of the Candidate Magnetocaloric-Material Double Perovskites La2MnCoO6, La2MnNiO6 and La2MnFeO6

C. Gauvin-Ndiaye1, T.  E. Baker1, P. Karan1, É. Massé1, M. Balli1, N. Brahiti1, M. A. Eskandari1, P. Fournier1,2, A.-M.S. Tremblay1,2, and R. Nourafkan11Institut quantique, Département de Physique and RQMP, Université de Sherbrooke, Sherbrooke, Québec, Canada J1K 2R1
2Canadian Institute for Advanced Research, Toronto, Ontario, Canada M5G 1Z8

###### Abstract

The search for room-temperature magnetocaloric materials for refrigeration has led to investigations of double perovskites. In particular, a puzzle has appeared in the La2MnNiO6, La2MnCoO6 and La2MnFeO6 family of compounds. They share the same crystal structure, but while La2MnNiO6 and La2MnCoO6 are ferromagnets below room temperature, La2MnFeO6, contrary to simple expectations, is a ferrimagnet. To solve this puzzle, we use density-functional theory calculations to investigate the electronic structure and magnetic exchange interactions of the ordered double perovskites. Our study reveals the critical role played by local electron-electron interaction in the Fe-d𝑑d orbital to promote the Fe3+ valence state with half-filled d𝑑d-shell over Fe2+ and to establish a ferrimagnetic ground state for La2MnFeO6. The importance of Hund’s coupling and Jahn-Teller distortion on the Mn4+ ion is also pointed out. Exchange constants are extracted by comparing different magnetically ordered states. Mean-field and classical Monte-Carlo calculations on the resulting model give trends in TCsubscript𝑇𝐶T\_{C} that are in agreement with experiments on this family of materials.

## I Introduction

The magnetocaloric effect leads to an increase of the temperature when certain materials are exposed to a magnetic field and decreases when they are removed from it. In order to be suitable for room temperature magnetic refrigeration, magnetocaloric materials need to exhibit a large change in magnetization around room temperature. The most interesting materials for this technology are hence ferromagnets with a high total moment per formula unit that undergo a magnetic phase transition to a paramagnetic state at room temperature.Gómez _et al._ ( [2013](https://ar5iv.labs.arxiv.org/html/1809.07812#bib.bib1 "")) Recently, double perovskite have been given considerable attention for this technology because of the low-production cost, stronger spin-phonon interactions, higher chemical stability, and better insulating properties.

Double perovskites La2MnNiO6 (LMNO) and La2MnCoO6 (LMCO) exhibit near room temperature ferromagnetism, with a Curie temperature of Tc≃280similar-to-or-equalssubscript𝑇𝑐280T\_{c}\\simeq 280 K Rogado _et al._ ( [2005](https://ar5iv.labs.arxiv.org/html/1809.07812#bib.bib2 "")) and Tc≃226similar-to-or-equalssubscript𝑇𝑐226T\_{c}\\simeq 226 K Dass and Goodenough ( [2003](https://ar5iv.labs.arxiv.org/html/1809.07812#bib.bib3 "")), respectively. From a practical point of

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