Risks from Learned Optimization in Advanced Machine Learning Systems

5 June 2019

Papers citing "Risks from Learned Optimization in Advanced Machine Learning Systems"

50 / 108 papers shown

Title
Getting aligned on representational alignment Ilia Sucholutsky Lukas Muttenthaler Adrian Weller Andi Peng Andreea Bobu ... Thomas Unterthiner Andrew Kyle Lampinen Klaus-Robert Muller M. Toneva Thomas L. Griffiths 61 74 0 18 Oct 2023
Conceptual Framework for Autonomous Cognitive Entities David Shapiro Wangfan Li Manuel Delaflor Carlos Toxtli 41 1 0 03 Oct 2023
CoinRun: Solving Goal Misgeneralisation Stuart Armstrong Alexandre Maranhao Oliver Daniels-Koch Ioannis Gkioulekas Rebecca Gormann LRM 32 0 0 28 Sep 2023
Large Language Model Alignment: A Survey Tianhao Shen Renren Jin Yufei Huang Chuang Liu Weilong Dong Zishan Guo Xinwei Wu Yan Liu Deyi Xiong LM&MA 19 176 0 26 Sep 2023
Uncovering mesa-optimization algorithms in Transformers J. Oswald Eyvind Niklasson Maximilian Schlegel Seijin Kobayashi Nicolas Zucchet ... Mark Sandler Blaise Agüera y Arcas Max Vladymyrov Razvan Pascanu João Sacramento 24 53 0 11 Sep 2023
Taken out of context: On measuring situational awareness in LLMs Lukas Berglund Asa Cooper Stickland Mikita Balesni Max Kaufmann Meg Tong Tomasz Korbak Daniel Kokotajlo Owain Evans LLMAG LRM 16 61 0 01 Sep 2023
Deception Abilities Emerged in Large Language Models Thilo Hagendorff LLMAG 35 75 0 31 Jul 2023
Of Models and Tin Men: A Behavioural Economics Study of Principal-Agent Problems in AI Alignment using Large-Language Models S. Phelps Rebecca E. Ranson LLMAG 34 1 0 20 Jul 2023
Deceptive Alignment Monitoring Andres Carranza Dhruv Pai Rylan Schaeffer Arnuv Tandon Oluwasanmi Koyejo 37 7 0 20 Jul 2023
Does Circuit Analysis Interpretability Scale? Evidence from Multiple Choice Capabilities in Chinchilla Tom Lieberum Matthew Rahtz János Kramár Neel Nanda G. Irving Rohin Shah Vladimir Mikulik 26 100 0 18 Jul 2023
Frontier AI Regulation: Managing Emerging Risks to Public Safety Markus Anderljung Joslyn Barnhart Anton Korinek Jade Leung Cullen O'Keefe ... Jonas Schuett Yonadav Shavit Divya Siddarth Robert F. Trager Kevin J. Wolf SILM 44 118 0 06 Jul 2023
Still No Lie Detector for Language Models: Probing Empirical and Conceptual Roadblocks B. Levinstein Daniel A. Herrmann 17 54 0 30 Jun 2023
Pretraining task diversity and the emergence of non-Bayesian in-context learning for regression Allan Raventós Mansheej Paul F. Chen Surya Ganguli 27 70 0 26 Jun 2023
Inverse Scaling: When Bigger Isn't Better I. R. McKenzie Alexander Lyzhov Michael Pieler Alicia Parrish Aaron Mueller ... Yuhui Zhang Zhengping Zhou Najoung Kim Sam Bowman Ethan Perez 25 126 0 15 Jun 2023
Incentivizing honest performative predictions with proper scoring rules Caspar Oesterheld Johannes Treutlein Emery Cooper Rubi Hudson 33 5 0 28 May 2023
Deep Learning and Ethics Travis LaCroix Simon J. D. Prince FaML 24 0 0 24 May 2023
Eight Things to Know about Large Language Models Sam Bowman ALM 25 113 0 02 Apr 2023
Natural Selection Favors AIs over Humans Dan Hendrycks 23 31 0 28 Mar 2023
Conditioning Predictive Models: Risks and Strategies Evan Hubinger Adam Jermyn Johannes Treutlein Rubi Hudson Kate Woolverton 33 5 0 02 Feb 2023
Discovering Language Model Behaviors with Model-Written Evaluations Ethan Perez Sam Ringer Kamilė Lukošiūtė Karina Nguyen Edwin Chen ... Danny Hernandez Deep Ganguli Evan Hubinger Nicholas Schiefer Jared Kaplan ALM 22 358 0 19 Dec 2022
Transformers learn in-context by gradient descent J. Oswald Eyvind Niklasson E. Randazzo João Sacramento A. Mordvintsev A. Zhmoginov Max Vladymyrov MLT 30 429 0 15 Dec 2022
Misspecification in Inverse Reinforcement Learning Joar Skalse Alessandro Abate 25 22 0 06 Dec 2022
Diagnostics for Deep Neural Networks with Automated Copy/Paste Attacks Stephen Casper K. Hariharan Dylan Hadfield-Menell AAML 18 11 0 18 Nov 2022
Ignore Previous Prompt: Attack Techniques For Language Models Fábio Perez Ian Ribeiro SILM 28 397 0 17 Nov 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 28 122 0 04 Nov 2022
Scaling Laws for Reward Model Overoptimization Leo Gao John Schulman Jacob Hilton ALM 41 475 0 19 Oct 2022
Bridging the Gap between Artificial Intelligence and Artificial General Intelligence: A Ten Commandment Framework for Human-Like Intelligence Ananta Nair F. Kashani 31 2 0 17 Oct 2022
Goal Misgeneralization: Why Correct Specifications Aren't Enough For Correct Goals Rohin Shah Vikrant Varma Ramana Kumar Mary Phuong Victoria Krakovna J. Uesato Zachary Kenton 34 68 0 04 Oct 2022
The Alignment Problem from a Deep Learning Perspective Richard Ngo Lawrence Chan Sören Mindermann 54 183 0 30 Aug 2022
What Do NLP Researchers Believe? Results of the NLP Community Metasurvey Julian Michael Ari Holtzman Alicia Parrish Aaron Mueller Alex Jinpeng Wang ... Divyam Madaan Nikita Nangia Richard Yuanzhe Pang Jason Phang Sam Bowman 22 37 0 26 Aug 2022
The Linguistic Blind Spot of Value-Aligned Agency, Natural and Artificial Travis LaCroix 28 3 0 02 Jul 2022
Parametrically Retargetable Decision-Makers Tend To Seek Power Alexander Matt Turner Prasad Tadepalli 14 18 0 27 Jun 2022
Worldwide AI Ethics: a review of 200 guidelines and recommendations for AI governance N. Corrêa Camila Galvão J. Santos C. Pino Edson Pontes Pinto ... Diogo Massmann Rodrigo Mambrini Luiza Galvao Edmund Terem Nythamar Fernandes de Oliveira 31 89 0 23 Jun 2022
Actionable Guidance for High-Consequence AI Risk Management: Towards Standards Addressing AI Catastrophic Risks Anthony M. Barrett Dan Hendrycks Jessica Newman Brandie Nonnecke SILM 29 11 0 17 Jun 2022
Is Power-Seeking AI an Existential Risk? Joseph Carlsmith ELM 23 81 0 16 Jun 2022
X-Risk Analysis for AI Research Dan Hendrycks Mantas Mazeika 33 67 0 13 Jun 2022
Researching Alignment Research: Unsupervised Analysis Jan H. Kirchner Logan Smith Jacques Thibodeau Kyle McDonell Laria Reynolds 23 6 0 06 Jun 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 32 59 0 03 May 2022
GPT-NeoX-20B: An Open-Source Autoregressive Language Model Sid Black Stella Biderman Eric Hallahan Quentin G. Anthony Leo Gao ... Shivanshu Purohit Laria Reynolds J. Tow Benqi Wang Samuel Weinbach 69 800 0 14 Apr 2022
A Modern Self-Referential Weight Matrix That Learns to Modify Itself Kazuki Irie Imanol Schlag Róbert Csordás Jürgen Schmidhuber 14 26 0 11 Feb 2022
The Effects of Reward Misspecification: Mapping and Mitigating Misaligned Models Alexander Pan Kush S. Bhatia Jacob Steinhardt 44 168 0 10 Jan 2022
The Dangers of Underclaiming: Reasons for Caution When Reporting How NLP Systems Fail Sam Bowman OffRL 22 45 0 15 Oct 2021
Extending Environments To Measure Self-Reflection In Reinforcement Learning S. Alexander Michael Castaneda K. Compher Oscar Martinez 16 6 0 13 Oct 2021
Unsolved Problems in ML Safety Dan Hendrycks Nicholas Carlini John Schulman Jacob Steinhardt 186 273 0 28 Sep 2021
Goal Misgeneralization in Deep Reinforcement Learning L. Langosco Jack Koch Lee D. Sharkey J. Pfau Laurent Orseau David M. Krueger 22 78 0 28 May 2021
Alignment of Language Agents Zachary Kenton Tom Everitt Laura Weidinger Iason Gabriel Vladimir Mikulik G. Irving 22 157 0 26 Mar 2021
An overview of 11 proposals for building safe advanced AI Evan Hubinger AAML 19 23 0 04 Dec 2020
Avoiding Tampering Incentives in Deep RL via Decoupled Approval J. Uesato Ramana Kumar Victoria Krakovna Tom Everitt Richard Ngo Shane Legg 26 14 0 17 Nov 2020
REALab: An Embedded Perspective on Tampering Ramana Kumar J. Uesato Richard Ngo Tom Everitt Victoria Krakovna Shane Legg 14 10 0 17 Nov 2020
Achilles Heels for AGI/ASI via Decision Theoretic Adversaries Stephen L. Casper 6 4 0 12 Oct 2020