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As AI systems proliferate in society, the AI community is increasingly preoccupied with the concept of AI Safety, namely the prevention of failures due to accidents that arise from an unanticipated departure of a system's behavior from designer intent in AI deployment.
Humans and automation: Use, misuse, disuse, abuse
Raja Parasuraman and Victor Riley · 1997
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How to break anonymity of the netflix prize dataset
Arvind Narayanan and Vitaly Shmatikov · 2006
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Netflix spilled your brokeback mountain secret, lawsuit claims
Ryan Singel · 2009
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Netflix cancels recommendation contest after privacy lawsuit
Ryan Singel · 2010
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” you might also like:” privacy risks of collaborative filtering
Joseph A Calandrino, Ann Kilzer, Arvind Narayanan, Edward W Felten, and Vitaly Shmatikov · 2011
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The netflix effect: Teens, binge watching, and on-demand digital media trends
Sidneyeve Matrix · 2014
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Safe exploration techniques for reinforcement learning–an overview
Martin Pecka and Tomas Svoboda · 2014
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The netflix recommender system: Algorithms, business value, and innovation
Carlos A Gomez-Uribe and Neil Hunt · 2015
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Concrete Problems in AI Safety
Dario Amodei, Chris Olah, Jacob Steinhardt, Paul Christiano, John Schulman, and Dan Mané · 2016
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Exploring or exploiting? social and ethical implications of autonomous experimentation in ai
Sarah Bird, Solon Barocas, Kate Crawford, Fernando Diaz, and Hanna Wallach · 2016
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Safely interruptible agents
Laurent Orseau and MS Armstrong · 2016
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Towards verified artificial intelligence
Sanjit A. Seshia, Dorsa Sadigh, and S. Shankar Sastry · 2016
Cited alongside, same era.
Special review of procurement procedures related to the m.d. anderson cancer center oncology expert advisor project, 2016
The University of Texas System Administration · 2016
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Engineering Safety in Machine Learning
Kush R. Varshney · 2016
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Md anderson breaks with ibm watson, raising questions about artificial intelligence in oncology
Charlie Schmidt · 2017
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Collision between vehicle controlled by developmental automated driving system and pedestrian, 2018
National Transportation Safety Board · 2018
Cited alongside, same era.
Ghost Work: How to Stop Silicon Valley from Building a New Global Underclass
Mary L Gray and Siddharth Suri · 2019
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Roy Schwartz, Jesse Dodge, Noah A Smith, and Oren Etzioni · 2019
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Ibm watson, heal thyself: How ibm overpromised and underdelivered on ai health care
Eliza Strickland · 2019
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Energy and policy considerations for deep learning in nlp
Emma Strubell, Ananya Ganesh, and Andrew McCallum · 2019
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Tesla vehicle safety report
Inc. Tesla · 2019
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Towards Dynamic Safety Management for Autonomous Systems
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A general safety framework for learning-based control in uncertain robotic systems
Jaime F. Fisac, Anayo K. Akametalu, Melanie N. Zeilinger, Shahab Kaynama, Jeremy Gillula, and Claire J. Tomlin · 2018
Cited alongside, same era.
Pots: Protective optimization technologies
Rebekah Overdorf, Bogdan Kulynych, Ero Balsa, Carmela Troncoso, and Seda Gürses · 2018
Cited alongside, same era.
SoK: Security and privacy in machine learning
Nicolas Papernot, Patrick McDaniel, Arunesh Sinha, and Michael P. Wellman · 2018
Cited alongside, same era.
On evaluating adversarial robustness
Nicholas Carlini, Anish Athalye, Nicolas Papernot, Wieland Brendel, Jonas Rauber, Dimitris Tsipras, Ian Goodfellow, and Aleksander Madry · 2019
Cited alongside, same era.
Show your work: Improved reporting of experimental results
Jesse Dodge, Suchin Gururangan, Dallas Card, Roy Schwartz, and Noah A Smith · 2019
Cited alongside, same era.
Three Reasons Why: Framing the Challenges of Assuring AI
Xinwei Fang and Nikita Johnson · 2019
Cited alongside, same era.
Collision between a car operating with automated vehicle control systems and a tractor-semitrailer truck, 2017a
National Transportation Safety Board
Cited in the paper.
Mario Trapp and Gereon Wei · 2019
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Uber atg safety report
Inc. Uber · 2019
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‘inadequate safety culture’ contributed to uber automated test vehicle crash - ntsb calls for federal review process for automated vehicle testing on public roads, 2019
Eric Weiss · 2019
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Robot rights? let’s talk about human welfare instead
Abeba Birhane and Jelle van Dijk · 2020
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Saving face: Investigating the ethical concerns of facial recognition auditing
Inioluwa Deborah Raji, Timnit Gebru, Margaret Mitchell, Joy Buolamwini, Joonseok Lee, and Emily Denton · 2020
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