Towards Evaluating AI Systems for Moral Status Using Self-Reports

14 November 2023

Papers citing "Towards Evaluating AI Systems for Moral Status Using Self-Reports"

30 / 30 papers shown

Title
Self-Interpretability: LLMs Can Describe Complex Internal Processes that Drive Their Decisions, and Improve with Training Dillon Plunkett Adam Morris Keerthi Reddy Jorge Morales MILM 53 0 0 21 May 2025
Consciousness in Artificial Intelligence: Insights from the Science of Consciousness Patrick Butlin R. Long Eric Elmoznino Yoshua Bengio Jonathan C. P. Birch ... L. Mudrik Megan A. K. Peters Eric Schwitzgebel Jonathan Simon Rufin VanRullen LLMAG 67 105 0 17 Aug 2023
Do Models Explain Themselves? Counterfactual Simulatability of Natural Language Explanations Yanda Chen Ruiqi Zhong Narutatsu Ri Chen Zhao He He Jacob Steinhardt Zhou Yu Kathleen McKeown LRM 87 55 0 17 Jul 2023
Measuring Faithfulness in Chain-of-Thought Reasoning Tamera Lanham Anna Chen Ansh Radhakrishnan Benoit Steiner Carson E. Denison ... Zac Hatfield-Dodds Jared Kaplan J. Brauner Sam Bowman Ethan Perez ReLM LRM 72 193 0 17 Jul 2023
Simfluence: Modeling the Influence of Individual Training Examples by Simulating Training Runs Kelvin Guu Albert Webson Ellie Pavlick Lucas Dixon Ian Tenney Tolga Bolukbasi TDI 110 36 0 14 Mar 2023
Discovering Latent Knowledge in Language Models Without Supervision Collin Burns Haotian Ye Dan Klein Jacob Steinhardt 153 386 0 07 Dec 2022
Measuring Progress on Scalable Oversight for Large Language Models Sam Bowman Jeeyoon Hyun Ethan Perez Edwin Chen Craig Pettit ... Tristan Hume Yuntao Bai Zac Hatfield-Dodds Benjamin Mann Jared Kaplan ALM ELM 79 132 0 04 Nov 2022
Interpretability in the Wild: a Circuit for Indirect Object Identification in GPT-2 small Kevin Wang Alexandre Variengien Arthur Conmy Buck Shlegeris Jacob Steinhardt 316 563 0 01 Nov 2022
Toy Models of Superposition Nelson Elhage Tristan Hume Catherine Olsson Nicholas Schiefer T. Henighan ... Sam McCandlish Jared Kaplan Dario Amodei Martin Wattenberg C. Olah AAML MILM 198 380 0 21 Sep 2022
Language Models (Mostly) Know What They Know Saurav Kadavath Tom Conerly Amanda Askell T. Henighan Dawn Drain ... Nicholas Joseph Benjamin Mann Sam McCandlish C. Olah Jared Kaplan ELM 133 833 0 11 Jul 2022
Emergent Abilities of Large Language Models Jason W. Wei Yi Tay Rishi Bommasani Colin Raffel Barret Zoph ... Tatsunori Hashimoto Oriol Vinyals Percy Liang J. Dean W. Fedus ELM ReLM LRM 292 2,518 0 15 Jun 2022
Self-critiquing models for assisting human evaluators William Saunders Catherine Yeh Jeff Wu Steven Bills Ouyang Long Jonathan Ward Jan Leike ALM ELM 114 306 0 12 Jun 2022
Teaching Models to Express Their Uncertainty in Words Stephanie C. Lin Jacob Hilton Owain Evans OOD 96 425 0 28 May 2022
Maieutic Prompting: Logically Consistent Reasoning with Recursive Explanations Jaehun Jung Lianhui Qin Sean Welleck Faeze Brahman Chandra Bhagavatula Ronan Le Bras Yejin Choi ReLM LRM 273 196 0 24 May 2022
Adversarial Training for High-Stakes Reliability Daniel M. Ziegler Seraphina Nix Lawrence Chan Tim Bauman Peter Schmidt-Nielsen ... Noa Nabeshima Benjamin Weinstein-Raun D. Haas Buck Shlegeris Nate Thomas AAML 126 61 0 03 May 2022
Training Compute-Optimal Large Language Models Jordan Hoffmann Sebastian Borgeaud A. Mensch Elena Buchatskaya Trevor Cai ... Karen Simonyan Erich Elsen Jack W. Rae Oriol Vinyals Laurent Sifre AI4TS 208 1,987 0 29 Mar 2022
Locating and Editing Factual Associations in GPT Kevin Meng David Bau A. Andonian Yonatan Belinkov KELM 251 1,389 0 10 Feb 2022
Chain-of-Thought Prompting Elicits Reasoning in Large Language Models Jason W. Wei Xuezhi Wang Dale Schuurmans Maarten Bosma Brian Ichter F. Xia Ed H. Chi Quoc Le Denny Zhou LM&Ro LRM AI4CE ReLM 853 9,714 0 28 Jan 2022
Show Your Work: Scratchpads for Intermediate Computation with Language Models Maxwell Nye Anders Andreassen Guy Gur-Ari Henryk Michalewski Jacob Austin ... Aitor Lewkowycz Maarten Bosma D. Luan Charles Sutton Augustus Odena ReLM LRM 183 756 0 30 Nov 2021
Truthful AI: Developing and governing AI that does not lie Owain Evans Owen Cotton-Barratt Lukas Finnveden Adam Bales Avital Balwit Peter Wills Luca Righetti William Saunders HILM 297 117 0 13 Oct 2021
Information-Theoretic Probing with Minimum Description Length Elena Voita Ivan Titov 90 276 0 27 Mar 2020
Estimating Training Data Influence by Tracing Gradient Descent G. Pruthi Frederick Liu Mukund Sundararajan Satyen Kale TDI 108 419 0 19 Feb 2020
Scaling Laws for Neural Language Models Jared Kaplan Sam McCandlish T. Henighan Tom B. Brown B. Chess R. Child Scott Gray Alec Radford Jeff Wu Dario Amodei 651 4,921 0 23 Jan 2020
Fine-Tuning Language Models from Human Preferences Daniel M. Ziegler Nisan Stiennon Jeff Wu Tom B. Brown Alec Radford Dario Amodei Paul Christiano G. Irving ALM 491 1,768 0 18 Sep 2019
CTRL: A Conditional Transformer Language Model for Controllable Generation N. Keskar Bryan McCann Lav Varshney Caiming Xiong R. Socher AI4CE 132 1,239 0 11 Sep 2019
Supervising strong learners by amplifying weak experts Paul Christiano Buck Shlegeris Dario Amodei 66 124 0 19 Oct 2018
Deep reinforcement learning from human preferences Paul Christiano Jan Leike Tom B. Brown Miljan Martic Shane Legg Dario Amodei 218 3,377 0 12 Jun 2017
Understanding Black-box Predictions via Influence Functions Pang Wei Koh Percy Liang TDI 219 2,910 0 14 Mar 2017
Overcoming catastrophic forgetting in neural networks J. Kirkpatrick Razvan Pascanu Neil C. Rabinowitz J. Veness Guillaume Desjardins ... A. Grabska-Barwinska Demis Hassabis Claudia Clopath D. Kumaran R. Hadsell CLL 374 7,572 0 02 Dec 2016
The Mythos of Model Interpretability Zachary Chase Lipton FaML 183 3,708 0 10 Jun 2016