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Removed superfluous references, added DOI
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paper/paper.bib

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@@ -20,7 +20,6 @@ @inproceedings{Lundberg2017
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author = {Lundberg, Scott M. and Lee, Su-In},
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booktitle = {Advances in Neural Information Processing Systems 30 (NIPS 2017)},
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issn = {10495258},
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mendeley-groups = {PhD},
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pages = {4765--4774},
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title = {{A Unified Approach to Interpreting Model Predictions}},
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year = {2017}
@@ -32,28 +31,12 @@ @inproceedings{Ribeiro2020
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booktitle = {Association for Computational Linguistics (ACL)},
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year = {2020}
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}
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@inproceedings{Sundararajan2017,
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author = {Sundararajan, Mukund and Taly, Ankur and Yan, Qiqi},
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booktitle = {34th International Conference on Machine Learning (ICML), Proceedings},
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issn = {1938-7228},
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title = {{Axiomatic Attribution for Deep Networks}},
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year = {2017}
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}
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@inproceedings{Waa2018,
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author = {van der Waa, Jasper and Robeer, Marcel and van Diggelen, Jurriaan and Neerincx, Mark and Brinkhuis, Matthieu},
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booktitle = {2018 Workshop on Human Interpretability in Machine Learning (WHI 2018)},
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title = {{Contrastive Explanations with Local Foil Trees}},
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year = {2018}
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}
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@article{Mitchell2019,
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title={{Model Cards for Model Reporting}},
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ISBN={9781450361255},
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DOI={10.1145/3287560.3287596},
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journal={Proceedings of the Conference on Fairness, Accountability, and Transparency},
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publisher={ACM},
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author={Mitchell, Margaret and Wu, Simone and Zaldivar, Andrew and Barnes, Parker and Vasserman, Lucy and Hutchinson, Ben and Spitzer, Elena and Raji, Inioluwa Deborah and Gebru, Timnit},
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year={2019},
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}
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@article{Guidotti2018,
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title={{Local Rule-Based Explanations of Black Box Decision Systems}},
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author={Guidotti, Riccardo and Monreale, Anna and Ruggieri, Salvatore and Pedreschi, Dino and Turini, Franco and Giannotti, Fosca},
@@ -75,6 +58,7 @@ @article{Mehrabi2021
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number={6},
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pages={1--35},
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year={2021},
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doi={10.1145/3457607},
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publisher={ACM New York, NY, USA}
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}
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@misc{instancelib,
@@ -108,60 +92,18 @@ @inproceedings{Tomsett2018
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eprint = {1806.07552},
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year = {2018}
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}
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@inproceedings{Toreini2020,
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author = {Toreini, Ehsan and Aitken, Mhairi and Coopamootoo, Kovila and Elliott, Karen and Zelaya, Carlos Gonzalez and van Moorsel, Aad},
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title = {{The Relationship between Trust in AI and Trustworthy Machine Learning Technologies}},
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year = {2020},
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isbn = {9781450369367},
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publisher = {Association for Computing Machinery},
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address = {New York, NY, USA},
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doi = {10.1145/3351095.3372834},
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booktitle = {Proceedings of the 2020 Conference on Fairness, Accountability, and Transparency},
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pages = {272–283},
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numpages = {12},
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keywords = {trustworthiness, trust, machine learning, artificial intelligence},
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location = {Barcelona, Spain},
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series = {FAT* '20}
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}
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@inproceedings{Abdul2018,
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title = {{Trends and Trajectories for Explainable, Accountable and Intelligible Systems: An HCI Research Agenda}},
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author = {Ashraf Abdul and Jo Vermeulen and Danding Wang and Lim, {Brian Y.} and Mohan Kankanhalli},
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year = {2018},
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month = apr,
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day = {20},
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doi = {10.1145/3173574.3174156},
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language = {English},
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isbn = {978-1-4503-5620-6},
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series = {CHI '18},
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pages = {582:1--582:18},
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editor = {Mandryk, Regan and Hancock, Mark},
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booktitle = {CHI 2018 - Extended Abstracts of the 2018 CHI Conference on Human Factors in Computing Systems},
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publisher = {Association for Computing Machinery},
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address = {United States},
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}
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@inproceedings{Agarwal2019,
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title = {{Fair Regression: Quantitative Definitions and Reduction-Based Algorithms}},
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author = {Agarwal, Alekh and Dudik, Miroslav and Wu, Zhiwei Steven},
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booktitle = {Proceedings of the 36th International Conference on Machine Learning},
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pages = {120--129},
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year = {2019},
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editor = {Chaudhuri, Kamalika and Salakhutdinov, Ruslan},
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volume = {97},
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series = {Proceedings of Machine Learning Research},
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month = {09--15 Jun},
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publisher = {PMLR},
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pdf = {http://proceedings.mlr.press/v97/agarwal19d/agarwal19d.pdf},
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}
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@inproceedings{Henin2020,
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author={Henin, Clément and Le Métayer, Daniel},
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booktitle={2020 IEEE International Conference on Big Data (Big Data)},
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title={{A Generic Framework for Black-box Explanations}},
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year={2020},
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volume={},
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number={},
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pages={3667-3676},
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doi={10.1109/BigData50022.2020.9377863}
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title = {{Fair Regression: Quantitative Definitions and Reduction-Based Algorithms}},
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author = {Agarwal, Alekh and Dudik, Miroslav and Wu, Zhiwei Steven},
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booktitle = {Proceedings of the 36th International Conference on Machine Learning},
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pages = {120--129},
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year = {2019},
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editor = {Chaudhuri, Kamalika and Salakhutdinov, Ruslan},
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volume = {97},
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series = {Proceedings of Machine Learning Research},
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month = {09--15 Jun},
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publisher = {PMLR},
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pdf = {http://proceedings.mlr.press/v97/agarwal19d/agarwal19d.pdf},
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}
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@inproceedings{Ribeiro2016b,
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arxivId = {1606.05386},
@@ -248,16 +190,6 @@ @article{Klaise2021
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pages = {1-7},
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url = {http://jmlr.org/papers/v22/21-0017.html}
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}
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@article{Li2022,
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author = {Xuhong Li and Haoyi Xiong and Xingjian Li and Xuanyu Wu and Zeyu Chen and Dejing Dou},
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title = {{InterpretDL: Explaining Deep Models in PaddlePaddle}},
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journal = {Journal of Machine Learning Research},
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year = {2022},
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volume = {23},
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number = {197},
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pages = {1--6},
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url = {http://jmlr.org/papers/v23/21-0738.html}
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}
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@misc{plotly,
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author = {{Plotly Technologies Inc.}},
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title = {Collaborative data science},
@@ -266,17 +198,6 @@ @misc{plotly
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year = {2015},
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url = {https://plot.ly}
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}
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@article{Veale2021,
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title={{Demystifying the Draft EU Artificial Intelligence Act — Analysing the good, the bad, and the unclear elements of the proposed approach}},
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author={Veale, Michael and Zuiderveen Borgesius, Frederik},
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journal={Computer Law Review International},
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volume={22},
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number={4},
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pages={97--112},
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doi={10.9785/cri-2021-220402},
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year={2021},
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}
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@article{Edwards2022,
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title={{The EU AI Act: A summary of its significance and scope}},
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author={Edwards, Lilian},

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