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@article{Manna2021,
  author = {Manna, R. and Nath, R.},
  title = {Kantian Moral Agency and the Ethics of Artificial Intelligence},
  journal = {Problemos},
  volume = {100},
  pages = {139--151},
  year = {2021},
  url = {/doc/papers/manna2021.pdf}
}

@article{Nath2021,
  author = {Nath, R. and Sahu, V.},
  title = {The problem of machine ethics in artificial intelligence},
  journal = {AI \& Society},
  volume = {35},
  pages = {103--111},
  year = {2021},
  url = {/doc/papers/nath2021.pdf}
}

@article{Tonkens2009,
  author = {Tonkens, R.},
  title = {A Challenge for Machine Ethics},
  journal = {Minds \& Machines},
  volume = {19},
  pages = {421--438},
  year = {2009},
  url = {/doc/papers/tonkens2009.pdf}
}

@misc{Singh2022,
  author = {Singh, L.},
  title = {Automated Kantian Ethics: A Faithful Implementation},
  year = {2022},
  note = {Online at \url{https://github.com/lsingh123/automatedkantianethics}},
  url = {/doc/papers/singh2022.pdf}
}

@techreport{EC_HLEG_AI,
  author = {European Commission's High-Level Expert Group on Artificial Intelligence},
  title = {Ethics Guidelines for Trustworthy Artificial Intelligence},
  institution = {European Commission},
  number = {6},
  year = {2019},
  note = {p. 17},
  url = {/doc/papers/ec_hleg_ai.pdf}
}

@article{Fjeld2020,
  author = {Fjeld, J. and Achten, N. and Hilligoss, H. and Nagy, A. C. and Srikumar, M.},
  title = {Principled Artificial Intelligence: Mapping Consensus in Ethical and Rights-Based Approaches to Principles for AI},
  journal = {arXiv preprint arXiv:2009.06350},
  year = {2020},
  url = {/doc/papers/fjeld2020.pdf}
}

@misc{BentzenLindner2018,
  author = {Bentzen, M. M. and Lindner, F.},
  title = {A Formalization of Kant's Second Formulation of the Categorical Imperative},
  year = {2018},
  eprint = {1801.03160},
  archiveprefix = {arXiv},
  url = {/doc/papers/bentzenLindner2018.pdf}
}

@article{Powers2006,
  author = {Powers, Tom M.},
  title = {Prospects for a {K}antian Machine},
  journal = {{IEEE} Intelligent Systems},
  year = {2006},
  volume = {21},
  number = {4},
  pages = {46--51},
  url = {/doc/papers/powers2006.pdf}
}

@inbook{Bennett2015-ch4to6,
  author = {Christopher Bennett},
  title = {What Is This Thing Called Ethics?},
  chapter = {4--6},
  publisher = {Routledge},
  address = {London},
  year = {2015},
  isbn = {9780415832335},
  note = {Chapters on Utilitarianism, Kantian Ethics, and Aristotelian Virtue Ethics}
}

@article{nakagawa2018deep,
  title = {Deep Learning for Classical Japanese Literature},
  author = {Nakagawa, Masaki},
  year = {2018},
  note = {kmnist},
  url = {/doc/papers/nakagawa2018deep.pdf}
}

@article{mcculloch1943logical,
  title = {A Logical Calculus of the Ideas Immanent in Nervous Activity},
  author = {McCulloch, Warren S. and Pitts, Walter},
  year = {1943},
  note = {McCulloch-Pitts Model, perceptron},
  url = {/doc/papers/mcculloch1943logical.pdf}
}

@article{mcinnes2020umap,
  title = {UMAP: Uniform Manifold Approximation and Projection for Dimension Reduction},
  author = {McInnes, Leland and Healy, John and Melville, James},
  year = {2020},
  url = {/doc/papers/mcinnes2020umap.pdf}
}

@article{szegedy2014intriguing,
  title = {Intriguing Properties of Neural Networks},
  author = {Szegedy, Christian and Zaremba, Wojciech and Goodfellow, Ian},
  year = {2014},
  url = {/doc/papers/szegedy2014intriguing.pdf}
}

@article{radford2019language,
  title = {Language Models are Unsupervised Multitask Learners},
  author = {Radford, Alec and Wu, Jeffrey and Child, Rewon and Luan, David and Amodei, Dario and Sutskever, Ilya},
  year = {2019},
  note = {GPT-2},
  url = {/doc/papers/radford2019language.pdf}
}

@article{radford2018improving,
  title = {Improving Language Understanding by Generative Pre-training},
  author = {Radford, Alec and Narasimhan, Karthik and Salimans, Tim and Sutskever, Ilya},
  year = {2018},
  note = {GPT},
  url = {/doc/papers/radford2018improving.pdf}
}

@inproceedings{vaswani2017attention,
  title = {Attention is All You Need},
  author = {Vaswani, Ashish and Shazeer, Noam and Parmar, Niki and Uszkoreit, Jakob and Jones, Llion and Gomez, Aidan N. and Kaiser, Lukasz and Polosukhin, Illia},
  booktitle = {Advances in Neural Information Processing Systems},
  year = {2017},
  note = {Attention, Transformer},
  url = {/doc/papers/vaswani2017attention.pdf}
}

@inproceedings{sutskever2014sequence,
  title = {Sequence to Sequence Learning with Neural Networks},
  author = {Sutskever, Ilya and Vinyals, Oriol and Le, Quoc V.},
  booktitle = {Advances in Neural Information Processing Systems},
  year = {2014},
  note = {Seq2Seq},
  url = {/doc/papers/sutskever2014sequence.pdf}
}

@inproceedings{simonyan2015very,
  title = {Very Deep Convolutional Networks for Large-Scale Image Recognition},
  author = {Simonyan, Karen and Zisserman, Andrew},
  booktitle = {International Conference on Learning Representations},
  year = {2015},
  note = {VGGNet},
  url = {/doc/papers/simonyan2015very.pdf}
}

@inproceedings{krizhevsky2012imagenet,
  title = {ImageNet Classification with Deep Convolutional Neural Networks},
  author = {Krizhevsky, Alex and Sutskever, Ilya and Hinton, Geoffrey E.},
  booktitle = {Advances in Neural Information Processing Systems},
  year = {2012},
  note = {AlexNet},
  url = {/doc/papers/krizhevsky2012imagenet.pdf}
}

@inproceedings{he2015deep,
  title = {Deep Residual Learning for Image Recognition},
  author = {He, Kaiming and Zhang, Xiangyu and Ren, Shaoqing and Sun, Jian},
  booktitle = {Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition},
  year = {2015},
  note = {ResNet},
  url = {/doc/papers/he2015deep.pdf}
}

@article{lecun2015deep,
  title = {Deep Learning},
  author = {LeCun, Yann and Bengio, Yoshua and Hinton, Geoffrey},
  journal = {Nature},
  volume = {521},
  pages = {436--444},
  year = {2015},
  note = {Review: Deep Learning},
  url = {/doc/papers/lecun2015deep.pdf}
}

@article{lecun1998gradient,
  title = {Gradient-Based Learning Applied to Document Recognition},
  author = {LeCun, Yann and Bottou, Léon and Bengio, Yoshua and Haffner, Patrick},
  journal = {Proceedings of the IEEE},
  year = {1998},
  note = {LeNet},
  url = {/doc/papers/lecun1998gradient.pdf}
}

@article{chalup2003incremental,
  title = {Incremental Training of First Order Recurrent Neural Networks to Predict a Context-Sensitive Language},
  author = {Chalup, Stephan K. and Blair, Alan D.},
  year = {2003},
  url = {/doc/papers/chalup2003incremental.pdf}
}

@misc{heller2020kits19,
  title = {The KiTS19 Challenge Data},
  author = {Heller, Nicholas and Sathiananathen, Niranjan},
  year = {2020},
  url = {/doc/papers/heller2020kits19.pdf}
}

@article{lecun1989handwritten,
  title = {Handwritten Digit Recognition with a Back-Propagation Network},
  author = {LeCun, Yann and Boser, Bernhard and Denker, John S. and Henderson, Donnie and Howard, Richard E. and Hubbard, Wayne and Jackel, Lawrence D.},
  year = {1989},
  url = {/doc/papers/lecun1989handwritten.pdf}
}

@article{taha2018convolution,
  title = {Convolution Networks for Kidney Vessels Segmentation from CT-Volumes},
  author = {Taha, Ahmed and Lo, Pechin and Li, Junning},
  year = {2018},
  note = {KidNet},
  url = {/doc/papers/taha2018convolution.pdf}
}

@inproceedings{ronneberger2015u,
  title = {U-Net: Convolutional Networks for Biomedical Image Segmentation},
  author = {Ronneberger, Olaf and Fischer, Philipp and Brox, Thomas},
  booktitle = {Medical Image Computing and Computer-Assisted Intervention (MICCAI)},
  year = {2015},
  note = {UNet},
  url = {/doc/papers/ronneberger2015u.pdf}
}

@article{sathianathen2022automatic,
  title = {Automatic Segmentation of Kidneys and Kidney Tumors: The KiTS19 International Challenge},
  author = {Sathianathen, Niranjan J. and Heller, Nicholas and Kleppe, Samuel and Mountney, James M. and Erickson, Bradley},
  year = {2022},
  url = {/doc/papers/sathianathen2022automatic.pdf}
}

@misc{deepseekr1,
  title = {DeepSeek-R1: Incentivizing Reasoning Capability in LLMs via Reinforcement Learning},
  author = {DeepSeek-AI and others},
  year = {2025},
  archiveprefix = {arXiv},
  url = {/doc/papers/deepseekr1.pdf}
}

@inproceedings{friedman2006value,
  title = {Value Sensitive Design},
  author = {Friedman, Batya and Kahn, Peter H. and Borning, Alan},
  booktitle = {Proceedings of the 2006 ACM Conference on Human Factors in Computing Systems},
  year = {2006},
  note = {Foundational work on incorporating human values into design},
  url = {/doc/papers/friedman2006value.pdf}
}

@misc{shneiderman2020human,
  title = {Human-Centered Artificial Intelligence: Reliable, Safe \& Trustworthy},
  author = {Shneiderman, Ben},
  year = {2020},
  archiveprefix = {arXiv},
  url = {/doc/papers/shneiderman2020human.pdf}
}

@article{baeza-yates2018bias,
  author = {Ricardo Baeza-Yates},
  title = {Bias in Web Data and Use Taints the Algorithms Behind Web-based Applications, Delivering Equally Biased Results},
  journal = {Communications of the ACM},
  volume = {61},
  number = {6},
  pages = {54--61},
  year = {2018},
  doi = {10.1145/3209581},
  publisher = {Association for Computing Machinery},
  note = {Available at \url{https://dl.acm.org/doi/pdf/10.1145/3209581}},
  url = {/doc/papers/baeza-yates2018bias.pdf}
}

@misc{friedler2016impossibility,
  title = {On the (Im)Possibility of Fairness: Different Value Systems Require Different Mechanisms for Fair Decision-Making},
  author = {Friedler, Sorelle A. and Scheidegger, Carlos and Venkatasubramanian, Suresh},
  year = {2016},
  eprint = {1609.07236},
  archiveprefix = {arXiv},
  primaryclass = {cs.LG},
  note = {Workshop version at FAccT 2016; available at \url{https://arxiv.org/abs/1609.07236}},
  url = {/doc/papers/friedler2016impossibility.pdf}
}