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AI safety: state of the field through quantitative lens

12 February 2020

Papers citing "AI safety: state of the field through quantitative lens"

21 / 21 papers shown

Title
Fairness in Learning-Based Sequential Decision Algorithms: A Survey Xueru Zhang M. Liu FaML 137 51 0 14 Jan 2020
Learning from Learning Machines: Optimisation, Rules, and Social Norms Travis LaCroix Yoshua Bengio 40 7 0 29 Dec 2019
Explainable Artificial Intelligence (XAI): Concepts, Taxonomies, Opportunities and Challenges toward Responsible AI Alejandro Barredo Arrieta Natalia Díaz Rodríguez Javier Del Ser Adrien Bennetot Siham Tabik ... S. Gil-Lopez Daniel Molina Richard Benjamins Raja Chatila Francisco Herrera XAI 127 6,293 0 22 Oct 2019
A Survey on Bias and Fairness in Machine Learning Ninareh Mehrabi Fred Morstatter N. Saxena Kristina Lerman Aram Galstyan SyDa FaML 571 4,366 0 23 Aug 2019
Machine Learning Testing: Survey, Landscapes and Horizons Jie M. Zhang Mark Harman Lei Ma Yang Liu VLM AILaw 82 752 0 19 Jun 2019
Risks from Learned Optimization in Advanced Machine Learning Systems Evan Hubinger Chris van Merwijk Vladimir Mikulik Joar Skalse Scott Garrabrant 89 153 0 05 Jun 2019
Explainability in Human-Agent Systems A. Rosenfeld A. Richardson XAI 68 206 0 17 Apr 2019
Scalable agent alignment via reward modeling: a research direction Jan Leike David M. Krueger Tom Everitt Miljan Martic Vishal Maini Shane Legg 114 420 0 19 Nov 2018
Supervising strong learners by amplifying weak experts Paul Christiano Buck Shlegeris Dario Amodei 62 124 0 19 Oct 2018
Adversarial Attacks and Defences: A Survey Anirban Chakraborty Manaar Alam Vishal Dey Anupam Chattopadhyay Debdeep Mukhopadhyay AAML OOD 86 683 0 28 Sep 2018
Adversarial Examples: Opportunities and Challenges Jiliang Zhang Chen Li AAML 55 234 0 13 Sep 2018
AGI Safety Literature Review Tom Everitt G. Lea Marcus Hutter AI4CE 67 116 0 03 May 2018
AI safety via debate G. Irving Paul Christiano Dario Amodei 254 223 0 02 May 2018
A Survey Of Methods For Explaining Black Box Models Riccardo Guidotti A. Monreale Salvatore Ruggieri Franco Turini D. Pedreschi F. Giannotti XAI 137 3,970 0 06 Feb 2018
Threat of Adversarial Attacks on Deep Learning in Computer Vision: A Survey Naveed Akhtar Ajmal Mian AAML 97 1,871 0 02 Jan 2018
Adversarial Examples: Attacks and Defenses for Deep Learning Xiaoyong Yuan Pan He Qile Zhu Xiaolin Li SILM AAML 94 1,625 0 19 Dec 2017
AI Safety Gridworlds Jan Leike Miljan Martic Victoria Krakovna Pedro A. Ortega Tom Everitt Andrew Lefrancq Laurent Orseau Shane Legg 111 255 0 27 Nov 2017
"Dave...I can assure you...that it's going to be all right..." -- A definition, case for, and survey of algorithmic assurances in human-autonomy trust relationships Brett W. Israelsen Nisar R. Ahmed 41 86 0 08 Nov 2017
Guidelines for Artificial Intelligence Containment James Babcock János Kramár Roman V. Yampolskiy 53 30 0 24 Jul 2017
Concrete Problems in AI Safety Dario Amodei C. Olah Jacob Steinhardt Paul Christiano John Schulman Dandelion Mané 242 2,403 0 21 Jun 2016
Research Priorities for Robust and Beneficial Artificial Intelligence Stuart J. Russell Dan Dewey Max Tegmark 74 657 0 10 Feb 2016