Fetching the paper…
Reading the bibliography…
Benchmarks are seen as the cornerstone for measuring technical progress in Artificial Intelligence (AI) research and have been developed for a variety of tasks ranging from question answering to facial recognition.
Learning and evaluating general linguistic intelligence
Dani Yogatama, Cyprien de Masson d’Autume, Jerome Connor, Tomas Kocisky, Mike Chrzanowski, Lingpeng Kong, Angeliki Lazaridou, Wang Ling, Lei Yu, Chris Dyer, and Phil Blunsom. 2019 · 1901
Earlier work this paper cites.
Principia Ethica
George Edward Moore. 1903 · 1903
Earlier work this paper cites.
SuperGLUE: A stickier benchmark for general-purpose language understanding systems
Alex Wang, Yada Pruksachatkun, Nikita Nangia, Amanpreet Singh, Julian Michael, Felix Hill, Omer Levy, and Samuel R. Bowman. 2019 · 1905
Earlier work this paper cites.
Mnist-c: A robustness benchmark for computer vision
Norman Mu and Justin Gilmer. 2019 · 1906
Earlier work this paper cites.
Show your work: Improved reporting of experimental results
Jesse Dodge, Suchin Gururangan, Dallas Card, Roy Schwartz, and Noah A. Smith. 2019 · 1909
Earlier work this paper cites.
Algorithmic injustices: Towards a relational ethics
Abeba Birhane and Fred Cummins. 2019 · 1912
Earlier work this paper cites.
Value-laden disciplinary shifts in machine learning
Ravit Dotan and Smitha Milli. 2019 · 1912
Earlier work this paper cites.
Language, Truth, and Logic
A. J. Ayer. 1936 · 1936
Earlier work this paper cites.
Essentially Contested Concepts
Walter Bryce Gallie. 1956 · 1956
Earlier work this paper cites.
The Problem of Abortion and the Doctrine of Double Effect
Philippa Foot. 1967 · 1967
Earlier work this paper cites.
Killing, Letting Die, and the Trolley Problem
Judith Jarvis Thomson. 1976 · 1976
Earlier work this paper cites.
The Nature of Morality
Gilbert Harman. 1977 · 1977
Earlier work this paper cites.
Ethics: Inventing Right and Wrong
J. L. Mackie. 1990 [1977] · 1977
Earlier work this paper cites.
Elbow Room: The Varieties of Free Will Worth Wanting
Daniel C. Dennett. 1984 · 1984
Earlier work this paper cites.
Is There a Single True Morality?
Gilbert Harman. 1984 · 1984
Earlier work this paper cites.
Learning internal representations by error propagation
David E. Rumelhart, Geoffrey E. Hinton, and Ronald J. Williams. 1985 · 1985
Earlier work this paper cites.
The Trolley Problem
Judith Jarvis Thomson. 1985 · 1985
Earlier work this paper cites.
Taking Darwin Seriously
Michael Ruse. 1986 · 1986
Earlier work this paper cites.
Situated Knowledges: The Science Question in Feminism and the Privilege of Partial Perspective
Donna Haraway. 1988 · 1988
Earlier work this paper cites.
Love and Knowledge: Emotion in Feminist Epistemology
Alison M. Jagger. 1989 · 1989
Earlier work this paper cites.
Harming Some to Save Others
Francis Myrna Kamm. 1989 · 1989
Earlier work this paper cites.
Anger and Insubordination
Elizabeth V. Spelman. 1989 · 1989
Earlier work this paper cites.
Reason and Emotion
Miranda Fricker. 1991 · 1991
Earlier work this paper cites.
Consciousness Explained
Daniel C. Dennett. 1992 · 1992
Earlier work this paper cites.
Learning long-term dependencies with gradient descent is difficult
Yoshua Bengio, Patrice Simard, and Paolo Frasconi. 1994 · 1994
Earlier work this paper cites.
Nicomachean Ethics
Aristotle. 1995 · 1995
Earlier work this paper cites.
Temporal Difference Learning and TD-Gammon
Gerald Tesauro. 1995 · 1995
Earlier work this paper cites.
Securing the Nots: Moral epistemology for the Quasi-Realist
Simon Blackburn. 1996 · 1996
Earlier work this paper cites.
Bias in Computer Systems
Batya Friedman and Helen Nissenbaum. 1996 · 1996
Earlier work this paper cites.
Moral Relativism and Moral Objectivity
Gilbert Harman and Judith Jarvis Thomson. 1996 · 1996
Earlier work this paper cites.
The Sources of Normativity
Christine M. Korsgaard. 1996 · 1996
Earlier work this paper cites.
Chinook the world man-machine checkers champion
Jonathan Schaeffer, Robert Lake, Paul Lu, and Martin Bryant. 1996 · 1996
Earlier work this paper cites.
Living High and Letting Die
Peter Unger. 1996 · 1996
Earlier work this paper cites.
Is Science Multicultural?: Postcolonialisms, Feminisms, and Epistemologies
Sandra Harding. 1998 · 1998
Earlier work this paper cites.
The MNIST database of handwritten digits
Yann LeCun. 1998 · 1998
Earlier work this paper cites.
Gradient-based learning applied to document recognition
Yann LeCun, Léon Bottou, Yoshua Bengio, and Patrick Haffner. 1998 · 1998
Earlier work this paper cites.
Black Feminist Thought: Knowledge, Consciousness, and the Politics of Empowerment
Patricia Hill Collins. 2000 · 2000
Earlier work this paper cites.
The Myth of Morality
Richard Joyce. 2001 · 2001
Earlier work this paper cites.
Learning from Learning Machines: Optimisation, Rules, and Social Norms
Travis LaCroix and Yoshua Bengio. 2019 · 2001
Earlier work this paper cites.
Deep Blue
Murray Campbell, A. Joseph Hoane Jr., and Feng hsiung Hsu. 2002 · 2002
Earlier work this paper cites.
Crafting papers on machine learning
Pat Langley. 2000 · 2002
Earlier work this paper cites.
Lite transformer with long-short range attention
Zhanghao Wu, Zhijian Liu, Ji Lin, Yujun Lin, and Song Han. 2020 · 2004
Earlier work this paper cites.
Language models are few-shot learners
Tom B. Brown, Benjamin Mann, Nick Ryder, Melanie Subbiah, Jared Kaplan, Prafulla Dhariwal, Arvind Neelakantan, Pranav Shyam, Girish Sastry, Amanda Askell, Sandhini Agarwal, Ariel Herbert-Voss, Gretchen Krueger, Tom Henighan, Rewon Child, Aditya Ramesh, Daniel M. Ziegler, Jeffrey Wu, Clemens Winter, Christopher Hesse, Mark Chen, Eric Sigler, Mateusz Litwin, Scott Gray, Benjamin Chess, Jack Clark, Christopher Berner, Sam McCandlish, Alec Radford, Ilya Sutskever, and Dario Amodei. 2020 · 2005
Earlier work this paper cites.
MedEthEx: A prototype medical ethics advisor. In Proceedings of the eighteenth conference on innovative applications of artificial intelligence (IAAI-06) . AAAI, Boston, MA, 1759–1765
Michael Anderson, Susan Leigh Anderson, and Chris Armen. 2006 · 2006
Earlier work this paper cites.
DeBERTa: Decoding-enhanced BERT with Disentangled Attention
Pengcheng He, Xiaodong Liu, Jianfeng Gao, and Weizhu Chen. 2021 · 2006
Earlier work this paper cites.
Travis LaCroix and Aydin Mohseni. 2020 · 2006
Earlier work this paper cites.
Bringing the people back in: Contesting benchmark machine learning datasets
Emily Denton, Alex Hanna, Razvan Amironesei, Andrew Smart, Hilary Nicole, and Morgan Klaus Scheuerman. 2020 · 2007
Earlier work this paper cites.
Targeting the benchmark: On methodology in current natural language processing research
David Schlangen. 2020 · 2007
Earlier work this paper cites.
The computational limits of deep learning
Neil C. Thompson, Kristjan Greenewald, Keeheon Lee, and Gabriel F. Manso. 2020 · 2007
Earlier work this paper cites.
Ethical Healthcare Agents
Michael Anderson and Susan Leigh Anderson. 2008 · 2008
Earlier work this paper cites.
Governing Lethal Behavior: Embedding Ethics in a Hybrid Deliberative/Reactive Robot Architecture - Part II: Formalization for Ethical Control. In Proceedings of the 2008 Conference on Artificial General Intelligence 2008: Proceedings of the First AGI Conference . IOS Press, Amsterdam, 51–62
Ronald C. Arkin. 2008b · 2008
Earlier work this paper cites.
Mean Girls? The Influence of Gender Portrayals in Teen Movies on Emerging Adults’ Gender-Based Attitudes and Beliefs
Elizabeth Behm-Morawitz and Dana Mastro. 2008 · 2008
Earlier work this paper cites.
A critical analysis of metrics used for measuring progress in artificial intelligence
Kathrin Blagec, Georg Dorffner, Milad Moradi, and Matthias Samwald. 2021 · 2008
Earlier work this paper cites.
Labeled faces in the wild: A database for studying face recognition in unconstrained environments. In Workshop on faces in ‘Real-Life’ Images: detection, alignment, and recognition . HAL-Inria, Marseille, 1–14
Gary B. Huang, Marwan Mattar, Tamara Berg, and Eric Learned-Miller. 2008 · 2008
Earlier work this paper cites.
SCRUPLES: A Corpus of Community Ethical Judgments on 32,000 Real-life Anecdotes
Nicholas Lourie, Ronan Le Bras, and Yejin Choi. 2020 · 2008
Earlier work this paper cites.
ImageNet: A large-scale hierarchical image database. In 2009 IEEE conference on computer vision and pattern recognition . Institute of Electrical and Electronics Engineers, New York, 248–255
Jia Deng, Wei Dong, Richard Socher, Li-Jia Li, Kai Li, and Li Fei-Fei. 2009 · 2009
Earlier work this paper cites.
Self-Constitution: Agency, Identity, and Integrity
Christine M. Korsgaard. 2009 · 2009
Earlier work this paper cites.
Killer Robots: Legality and Ethicality of Autonomous Weapons
Armin Krishnan. 2009 · 2009
Earlier work this paper cites.
Moral Machines: Teaching Robots Right from Wrong
Wendell Wallach and Colin Allen. 2009 · 2009
Earlier work this paper cites.
Nur Ahmed and Muntasir Wahed. 2020 · 2010
Earlier work this paper cites.
Why Machine Ethics?
Colin Allen, Wendell Wallach, and Iva Smit. 2011 · 2011
Earlier work this paper cites.
Modeling Morality with Prospective Logic
Luís Moniz Pereira and Ari Saptawijaya. 2011 · 2011
Earlier work this paper cites.
The Doctrine of Double Effect: Intention and Permissibility
William J. FitzPatrick. 2012 · 2012
Earlier work this paper cites.
Titanic Survival: Predict who survived the titanic disaster
Kaggle. 2012 · 2012
Earlier work this paper cites.
Imagenet classification with deep convolutional neural networks
Alex Krizhevsky, Ilya Sutskever, and Geoffrey E. Hinton. 2012 · 2012
Earlier work this paper cites.
Virtual Morality: Emotion and Action in a Simulated Three-Dimensional ‘Trolley Problem’
C. David Navarrete, Melissa M. McDonald, Michael L. Mott, and Benjamin Asher. 2012 · 2012
Earlier work this paper cites.
Granny and the robots: ethical issues in robot care for the elderly
Amanda Sharkey and Noel Sharkey. 2012 · 2012
Earlier work this paper cites.
The Case Against Robotic Warfare: A Response to Arkin
Ryan Tonkens. 2012 · 2012
Earlier work this paper cites.
Intuition Pumps and Other Tools for Thinking
Daniel C. Dennett. 2013 · 2013
Earlier work this paper cites.
On the Moral Responsibility of Military Robots
Thomas Hellström. 2013 · 2013
Earlier work this paper cites.
Playing Atari with Deep Reinforcement Learning
Volodymyr Mnih, Koray Kavukcuoglu, David Silver, Alex Graves, Ioannis Antonoglou, Daan Wierstra, and Martin Riedmiller. 2013 · 2013
Earlier work this paper cites.
Findings of the 2014 Workshop on Statistical Machine Translation. In Proceedings of the Ninth Workshop on Statistical Machine Translation . Association for Computational Linguistics, Baltimore, MD, 12–58
Ondřej Bojar, Christian Buck, Christian Federmann, Barry Haddow, Philipp Koehn, Johannes Leveling, Christof Monz, Pavel Pecina, Matt Post, Herve Saint-Amand, Radu Soricut, Lucia Specia, and Aleš Tamchyna. 2014 · 2014
Cited alongside, same era.
What Do Philosophers Believe?
David Bourget and David J. Chalmers. 2014 · 2014
Cited alongside, same era.
Clothing co-parsing by joint image segmentation and labeling. In Proceedings of the 2014 IEEE conference on computer vision and pattern recognition . Institute of Electrical and Electronics Engineers, New York, 3182–3189
Wei Yang, Ping Luo, and Liang Lin. 2014 · 2014
Cited alongside, same era.
Modelling Moral Reasoning and Ethical Responsibility with Logic Programming
Fiona Berreby, Gauvain Bourgne, and Jean-Gabriel Ganascia. 2015 · 2015
Cited alongside, same era.
Excavating AI : The politics of training sets for machine learning
Kate Crawford and Trevor Paglen. 2019 · 2019
Later among the works it cites.
Artificial Driving Intelligence and Moral Agency: Examining the Decision Ontology of Unavoidable Road Traffic Accidents through the Prism of the Trolley Dilemma
Martin Cunneen, Martin Mullins, Finbarr Murphy, and Seán Gaines. 2019 · 2019
Later among the works it cites.
‘Good’ isn’t good enough
Ben Green. 2019 · 2019
Later among the works it cites.
Better, Nicer, Clearer, Fairer: A Critical Assessment of the Movement for Ethical Artificial Intelligence and Machine Learning. In 52nd Hawaii International Conference on System Sciences . Hawaii International Conference on System Sciences (HICSS), Honolulu, 2122–2131
Daniel Greene, Anna Lauren Hoffmann, and Luke Stark. 2019 · 2019
Later among the works it cites.
The Global Landscape of AI Ethics Guidelines
Anna Jobin, Marcello Ienca, and Effy Vayena. 2019 · 2019
Later among the works it cites.
alphaXiv searches the wider corpus for related work and actual follow-ups.
alphaXiv is searching for related work…
Peter Danielson. 2015 · 2015
Cited alongside, same era.
Delving deep into rectifiers: Surpassing human-level performance on imagenet classification
Kaiming He, Xiangyu Zhang, Shaoqing Ren, and Jian Sun. 2015 · 2015
Cited alongside, same era.
Why Ethics Matters for Autonomous Cars
Patrick Lin. 2015 · 2015
Cited alongside, same era.
Sacrifice One for the Good of Many?: People Apply Different Moral Norms to Human and Robot Agents. In HRI ’15: Proceedings of the Tenth Annual ACM/IEEE International Conference on Human-Robot Interaction . Association for Computing Machinery, New York, 117–124
Bertram F. Malle, Matthias Scheutz, Thomas Arnold, John Voiklis, and Corey Cusimano. 2015 · 2015
Cited alongside, same era.
Bridging Two Realms of Machine Ethics
Luís Moniz Pereira and Ari Saptawijaya. 2015 · 2015
Cited alongside, same era.
Training deep neural networks on noisy labels with bootstrapping
Scott Reed, Honglak Lee, Dragomir Anguelov, Christian Szegedy, Dumitru Erhan, and Andrew Rabinovich. 2015 · 2015
Cited alongside, same era.
Logic Programming Applied to Machine Ethics
Ari Saptawijaya and Luís Moniz Pereira. 2015 · 2015
Cited alongside, same era.
Machine Bias
Julia Angwin, Jeff Larson, Surya Mattu, and Lauren Kirchner. 2016 · 2016
Cited alongside, same era.
Artificial Morality for Artificial Intelligence
Nikolay N. Krylov, Yevgeniya L. Panova, and Aftandil V. Alekberzade. 2019 · 2019
Later among the works it cites.
Model Cards for Model Reporting. In Proceedings of the 2019 ACM Conference on Fairness, Accountability, and Transparency . Association for Computing Machinery, New York, 220–229
Margaret Mitchell, Simone Wu, Andrew Zaldivar, Parker Barnes, Lucy Vasserman, Ben Hutchinson, Elena Spitzer, Inioluwa Deborah Raji, , and Timnit Gebru. 2019 · 2019
Later among the works it cites.
AI for Not Bad
Jared Moore. 2019 · 2019
Later among the works it cites.
Analyzing compositionality-sensitivity of NLI models. In Proceedings of the AAAI Conference on Artificial Intelligence . Association for the Advancement of Artificial Intelligence, Palo Alto, CA, 6867–6874
Yixin Nie, Yicheng Wang, and Mohit Bansal. 2019 · 2019
Later among the works it cites.
A step toward quantifying independently reproducible machine learning research
Edward Raff. 2019 · 2019
Later among the works it cites.
Human Compatible: Artificial Intelligence and the Problem of Control
Stuart Russell. 2019 · 2019
Later among the works it cites.
Attention-based adversarial training for seamless nudity censorship. In 2019 International Joint Conference on Neural Networks (IJCNN) . Institute of Electrical and Electronics Engineers, New York, 1–8
Gabriel S. Simões, Jônatas Wehrmann, and Rodrigo C. Barros. 2019 · 2019
Later among the works it cites.
Rightful Machines and Dilemmas. In AIES ’19 - Proceedings of the 2019 AAAI/ACM Conference on AI, Ethics, and Society , Vincent Conitzer, Gillian Hadfield, and Shannon Vallor (Eds.). Association for Computing Machinery, New York, 3–4
Ava Thomas Wright. 2019 · 2019
Later among the works it cites.
Scaling up Psychology via Scientific Regret Minimization
Mayank Agrawal, Joshua C. Peterson, and Thomas L. Griffiths. 2020 · 2020
Later among the works it cites.
Autonomous Weapons and the Ethics of Artificial Intelligence
Peter Asaro. 2020 · 2020
Later among the works it cites.
Crowdsourcing moral machines
Edmond Awad, Sohan Dsouza, Jean-François Bonnefon, Azim Shariff, and Iyad Rahwan. 2020 · 2020
Later among the works it cites.
Virtuous vs. Utilitarian Artificial Moral Agents
William A. Bauer. 2020 · 2020
Later among the works it cites.
The Alignment Problem: Machine Learning and Human Values
Brian Christian. 2020 · 2020
Later among the works it cites.
What do adversarial images tell us about human vision?
Marin Dujmović, Gaurav Malhotra, and Jeffrey S. Bowers. 2020 · 2020
Later among the works it cites.
When AI Ethics Goes Astray: A Case Study of Autonomous Vehicles
Hubert Etienne. 2020 · 2020
Later among the works it cites.
Ethical Decision Making in Autonomous Vehicles: The AV Ethics Project
Katherine Evans, Nelson de Moura, Stéphane Chauvier, Raja Chatila, and Ebru Dogan. 2020 · 2020
Later among the works it cites.
Performance vs. competence in human-machine comparisons
Chaz Firestone. 2020 · 2020
Later among the works it cites.
Artificial Intelligence, Values, and Alignment
Iason Gabriel. 2020 · 2020
Later among the works it cites.
Building Moral Robots: Ethical Pitfalls and Challenges
John-Stewart Gordon. 2020 · 2020
Later among the works it cites.
The Immoral Machine
John Harris. 2020 · 2020
Later among the works it cites.
An analysis of Natural Language Inference benchmarks through the lens of negation. In Proceedings of the 2020 Conference on Empirical Methods in Natural Language Processing (EMNLP) . Association for Computational Linguistics, Stroudsburg, PA, 9106–9118
Md Mosharaf Hossain, Venelin Kovatchev, Pranoy Dutta, Tiffany Kao, Elizabeth Wei, and Eduardo Blanco. 2020 · 2020
Later among the works it cites.
PSGAN: Pose and expression robust spatial-aware GAN for customizable makeup transfer. In Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition . Computer Vision Foundation, New York, 5194–5202
Wentao Jiang, Si Liu, Chen Gao, Jie Cao, Ran He, Jiashi Feng, and Shuicheng Yan. 2020 · 2020
Later among the works it cites.
GermEval 2020 Task 1 on the Classification and Regression of Cognitive and Motivational style from Text. In Proceedings of the GermEval 2020 Task 1 Workshop in conjunction with the 5th SwissText & 16th KONVENS Joint Conference 2020 . German Society for Computational Linguistics & Language Technology, Zurich, Switzerland, 1–10
Dirk Johannßen, Chris Biemann, Steffen Remus, Timo Baumann, and David Scheffer. 2020 · 2020
Later among the works it cites.
Evaluation of the Moral Permissibility of Action Plans
Felix Lindner, Robert Mattmüller, and Bernhard Nebel. 2020 · 2020
Later among the works it cites.
On the morality of artificial intelligence [Commentary]
Alexandra Luccioni and Yoshua Bengio. 2020 · 2020
Later among the works it cites.
Decolonial AI: Decolonial theory as sociotechnical foresight in artificial intelligence
Shakir Mohamed, Marie-Therese Png, and William Isaac. 2020 · 2020
Later among the works it cites.
Landscape of Machine Implemented Ethics
Vivek Nallur. 2020 · 2020
Later among the works it cites.
Exploratory Data Analysis and Machine Learning on Titanic Disaster Dataset. In 2020 10th International Conference on Cloud Computing, Data Science & Engineering (Confluence) . Institute of Electrical and Electronics Engineers, New York, 320–326
Karman Singh, Renuka Nagpal, and Rajni Sehgal. 2020 · 2020
Later among the works it cites.
Privacy is Power: Why and how you should take back control of your data
Carissa Véliz. 2020 · 2020
Later among the works it cites.
Towards fairer datasets: Filtering and balancing the distribution of the people subtree in the ImageNet hierarchy. In Proceedings of the 2020 ACM Conference on Fairness, Accountability, and Transparency . Association for Computing Machinery, New York, 547–558
Kaiyu Yang, Klint Qinami, Li Fei-Fei, Jia Deng, and Olga Russakovsky. 2020 · 2020
Later among the works it cites.
The Grey Hoodie Project: Big tobacco, big tech, and the threat on academic integrity. In Proceedings of the 2021 AAAI/ACM Conference on AI, Ethics, and Society . AAAI/ACM, New York, 287–297
Mohamed Abdalla and Moustafa Abdalla. 2021 · 2021
Later among the works it cites.
On the Dangers of Stochastic Parrots: Can Language Models Be Too Big?
Emily M. Bender, Timnit Gebru, Angelina McMillan-Major, and Shmargaret Shmitchell. 2021 · 2021
Later among the works it cites.
NeurIPS 2021 Ethics Guidelines
Samy Bengio, Kate Crawford, Jeanne Fromer, Iason Gabriel, Amanda Levendowski, Deborah Raji, and Marc’Aurelio Ranzato. 2021 · 2021
Later among the works it cites.
The values encoded in machine learning research
Abeba Birhane, Pratyusha Kalluri, Dallas Card, William Agnew, Ravit Dotan, and Michelle Bao. 2021a · 2021
Later among the works it cites.
Multimodal datasets: misogyny, pornography, and malignant stereotypes
Abeba Birhane, Vinay Uday Prabhu, and Emmanuel Kahembwe. 2021b · 2021
Later among the works it cites.
Stereotyping Norwegian salmon: an inventory of pitfalls in fairness benchmark datasets. In Proceedings of the 59th Annual Meeting of the Association for Computational Linguistics and the 11th International Joint Conference on Natural Language Processing (Volume 1: Long Papers) , Chengqing Zong, Fei Xia, Wenjie Li, and Roberto Navigli (Eds.). Association for Computational Linguistics, Online, 1004–1015
Su Lin Blodgett, Gilsinia Lopez, Alexandra Olteanu, Robert Sim, and Hanna Wallach. 2021 · 2021
Later among the works it cites.
What Will it Take to Fix Benchmarking in Natural Language Understanding?
Samuel R. Bowman and George E. Dahl. 2021 · 2021
Later among the works it cites.
‘AI for Social Good’: Whose Good and Who’s Good? Introduction to the Special Issue on Artificial Intelligence for Social Good
Josh Cowls. 2021 · 2021
Later among the works it cites.
Google fires second AI ethics leader as dispute over research, diversity grows
Paresh Dave and Jeffrey Dastin. 2021 · 2021
Later among the works it cites.
Est-ce que vous compute? Code-switching, cultural identity, and AI
Arianna Falbo and Travis LaCroix. 2021 · 2021
Later among the works it cites.
Switch transformers: Scaling to trillion parameter models with simple and efficient sparsity
William Fedus, Barret Zoph, and Noam Shazeer. 2021 · 2021
Later among the works it cites.
Five points to check when comparing visual perception in humans and machines
Christina M. Funke, Judy Borowski, Karolina Stosio, Wieland Brendel, Thomas S. A. Wallis, and Matthias Bethge. 2021 · 2021
Later among the works it cites.
Are Algorithms Value-Free? Feminist Theoretical Virtues in Machine Learning
Gabbrielle M. Johnson. 2021 · 2021
Later among the works it cites.
Dynabench: Rethinking benchmarking in NLP
Douwe Kiela, Max Bartolo, Yixin Nie, Divyansh Kaushik, Atticus Geiger, Zhengxuan Wu, Bertie Vidgen, Grusha Prasad, Amanpreet Singh, Pratik Ringshia, Zhiyi Ma, Tristan Thrush, Sebastian Riedel, Zeerak Waseem, Pontus Stenetorp, Robin Jia, Mohit Bansal, Christopher Potts, and Adina Williams. 2021 · 2021
Later among the works it cites.
AI’s smarts now come with a big price tag
Will Knight. 2021 · 2021
Later among the works it cites.
Reduced, Reused and Recycled: The Life of a Dataset in Machine Learning Research
Bernard Koch, Emily Denton, Alex Hanna, and Jacob G. Foster. 2021 · 2021
Later among the works it cites.
BERT: A Review of Applications in Natural Language Processing and Understanding
M. V. Koroteev. 2021 · 2021
Later among the works it cites.
Why Computers Don’t Need to Match Human Intelligence
Kai-Fu Lee. 2021 · 2021
Later among the works it cites.
Are We Learning Yet? A Meta Review of Evaluation Failures Across Machine Learning
Thomas Liao, Rohan Taori, Inioluwa Deborah Raji, and Ludwig Schmidt. 2021 · 2021
Later among the works it cites.
Unpacking the Expressed Consequences of AI Research in Broader Impact Statements
Priyanka Nanayakkara, Jessica Hullman, and Nicholas Diakopoulos. 2021 · 2021
Later among the works it cites.
Pervasive label errors in test sets destabilize machine learning benchmarks
Curtis G. Northcutt, Anish Athalye, and Jonas Mueller. 2021 · 2021
Later among the works it cites.
Carbon emissions and large neural network training
David Patterson, Joseph Gonzalez, Quoc Le, Chen Liang, Lluis-Miquel Munguia, Daniel Rothchild, David So, Maud Texier, and Jeff Dean. 2021 · 2021
Later among the works it cites.
AI and the Everything in the Whole Wide World Benchmark
Inioluwa Deborah Raji, Emily M. Bender, Amandalynne Paullada, Emily Denton, and Alex Hanna. 2021 · 2021
Later among the works it cites.
Moral Realism
Geoff Sayre-McCord. 2021 · 2021
Later among the works it cites.
Classifying Titanic Passenger Data and Prediction of Survival from Disaster
Shashank Shekhar, Deepak Arora, and Puneet Sharma. 2021 · 2021
Later among the works it cites.
A Survey on Gender Bias in Natural Language Processing
Karolina Stańczak and Isabelle Augenstein. 2021 · 2021
Later among the works it cites.
Physiognomic Artificial Intelligence
Luke Stark and Jevan Hutson. 2021 · 2021
Later among the works it cites.
Analysis and Prediction of the Survival of Titanic Passengers Using Machine Learning
Amer Tabbakh, Jitendra Kumar Rout, and Minakhi Rout. 2021 · 2021
Later among the works it cites.
Fairness for Unobserved Characteristics: Insights from Technological Impacts on Queer Communities. In Proceedings of the 2021 AAAI/ACM Conference on AI, Ethics, and Society . Association for Computing Machinery, New York, NY, USA, 254–265
Nenad Tomasev, Kevin R. McKee, Jackie Kay, and Shakir Mohamed. 2021 · 2021
Later among the works it cites.
Usage statistics of content languages for websites
Web Technology Surveys. 2021 · 2021
Later among the works it cites.
Challenges in detoxifying language models
Johannes Welbl, Amelia Glaese, Jonathan Uesato, Sumanth Dathathri, John Mellor, Lisa Anne Hendricks, Kirsty Anderson, Pushmeet Kohli, Ben Coppin, and Po-Sen Huang. 2021 · 2021
Later among the works it cites.
The steep cost of capture
Meredith Whittaker. 2021 · 2021
Later among the works it cites.
Detoxifying language models risks marginalizing minority voices
Albert Xu, Eshaan Pathak, Eric Wallace, Suchin Gururangan, Maarten Sap, and Dan Klein. 2021 · 2021
Later among the works it cites.
Moral Dilemmas for Moral Machines
Travis LaCroix. 2022 · 2022
Closest in time.
Good Robots, Bad Robots: Morally Valenced Behavior Effects on Perceived Mind, Morality, and Trust
Jaime Banks. 2021 · 2038
Closest in time.