Posts by Collection




Epistemic Consequentialism and Epistemic Enkrasia

January 2018

Askell, Amanda. ‘Epistemic Consequentialism and Epistemic Enkrasia’. In Epistemic Consequentialism, edited by Kristoffer Ahlstrom-Vij and Jeff Dunn. Oxford: Oxford University Press, 2018

Prudential Objections to Atheism

May 2019

Askell, Amanda. ‘Prudential Objections to Atheism’. In A Companion to Atheism and Philosophy, edited by Graham Oppy. Wiley-Blackwell, 2019.

Evidence Neutrality and the Moral Value of Information

September 2019

Askell, Amanda. ‘Evidence Neutrality and the Moral Value of Information’. In Effective Altruism: Philosophical Issues, edited by Hilary Greaves and Theron Pummer. Oxford: Oxford University Press, 2019.

Language Models are Few-Shot Learners

May 2020

Brown, Tom; Mann, Ben; Ryder, Nick; Subbiah, Melanie et al. ‘Language Models are Few-Shot Learners.’ arXiv preprint arXiv:2005.14165 (2020).

Ensuring the Safety of Artificial Intelligence

November 2021

Askell, Amanda. ‘Ensuring the Safety of Artificial Intelligence’. In The Long View: Essays on policy, philanthropy, and the long-term future. Edited by Natalie Cargill and Tyler M. John. First Strategic Insight Ltd, 2021.

A General Language Assistant as a Laboratory for Alignment

December 2021

Askell, Amanda; Bai, Yuntao; Chen, Anna; Drain, Dawn; Ganguli, Deep; Henighan, Tom; Jones, Andy Joseph, Nicholas; Ben Mann, et al. A General Language Assistantas a Laboratory for Alignment. arXiv preprint arXiv:2112.00861 (2021)


The Moral Value of Information

Pascal’s Wager and other low risks with high stakes

Moral Offsetting

Moral empathy, the value of information & the ethics of infinity

AI safety needs social scientists

BAGI Panel: What Goal Should Civilization Strive For?

OpenAI’s GPT-2 Language Model

Publication norms, malicious uses of AI, and general-purpose learning algorithms

Responsible AI development as a collective action problem

How to develop AI competitively without falling victim to collective action problems

Best Practices for Dual Use Research

CNAS Panel: American Leadership in the Age of Artificial Intelligence

Girl Geek X: What is AI Policy? Ethics of AI Video Series

NeurIPS Panel: How Should a Machine Learning Researcher Think About AI Ethics?