Raymond Douglas

According to our database, Raymond Douglas authored at least 11 papers between 2024 and 2026.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2026

The Artificial Self: Characterising the landscape of AI identity.

Raymond Douglas, Jan Kulveit, Ondrej Havlicek, Theia Pearson-Vogel, Owen Cotton-Barratt, David Duvenaud

CoRR, March, 2026

AI Researchers' Views on Automating AI R&D and Intelligence Explosions.

Severin Field, Raymond Douglas, David Krueger

CoRR, March, 2026

International AI Safety Report 2026.

Yoshua Bengio, Stephen Clare, Carina Prunkl, Maksym Andriushchenko, Ben Bucknall, Malcolm Murray, Rishi Bommasani, Stephen Casper, Tom Davidson, Raymond Douglas, David Duvenaud, Philip Fox, Usman Gohar, Rose Hadshar, Anson Ho, Tiancheng Hu, Cameron Jones, Sayash Kapoor, Atoosa Kasirzadeh, Sam Manning, Nestor Maslej, Vasilios Mavroudis, Conor McGlynn, Richard Moulange, Jessica Newman, Kwan Yee Ng, Patricia Paskov, Shalaleh Rismani, Girish Sastry, Elizabeth Seger, Scott Singer, Charlotte Stix, Lucia Velasco, Nicole Wheeler

CoRR, February, 2026

Latent Introspection: Models Can Detect Prior Concept Injections.

Theia Pearson-Vogel, Martin Vanek, Raymond Douglas, Jan Kulveit

CoRR, February, 2026

Who's in Charge? Disempowerment Patterns in Real-World LLM Usage.

Mrinank Sharma, Miles McCain, Raymond Douglas, David Duvenaud

CoRR, January, 2026

2025

Incoherence in goal-conditioned autoregressive models.

Jacek Karwowski, Raymond Douglas

CoRR, October, 2025

Gradual Disempowerment: Systemic Existential Risks from Incremental AI Development.

Jan Kulveit, Raymond Douglas, Nora Ammann, Deger Turan, David Krueger, David Duvenaud

CoRR, January, 2025

Position: Humanity Faces Existential Risk from Gradual Disempowerment.

Jan Kulveit, Raymond Douglas, Nora Ammann, Deger Turan, David Krueger, David Duvenaud

Proceedings of the Forty-second International Conference on Machine Learning, 2025

2024

Limitations of Agents Simulated by Predictive Models.

Raymond Douglas, Jacek Karwowski, Chan Bae, Andis Draguns, Victoria Krakovna

CoRR, 2024

Mitigating the Problem of Strong Priors in LMs with Context Extrapolation.

Raymond Douglas, Andis Draguns, Tomas Gavenciak

CoRR, 2024

Evaluating Language Model Character Traits.

Francis Rhys Ward, Zejia Yang, Alex Jackson, Randy Brown, Chandler Smith, Grace Colverd, Louis Thomson, Raymond Douglas, Patrik Bartak, Andrew Rowan

Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2024, 2024