Z. Abedjan, L. Golab, and F. Naumann, Data Profiling: A Tutorial, Proceedings of the 2017 ACM International Conference on Management of Data, SIGMOD Conference, 1747.

S. Abiteboul, B. André, and D. Kaplan, Managing Your Digital Life, Commun. ACM, vol.58, pp.32-35, 2015.
URL : https://hal.archives-ouvertes.fr/hal-01068006

J. Angwin, J. Larson, S. Mattu, and L. Kirchner, Machine Bias: Risk Assessments in Criminal Sentencing. ProPublica, 2016.

A. Chouldechova, Fair prediction with disparate impact: A study of bias in recidivism prediction instruments, 2017.

D. K. Citron and F. A. Pasquale, The Scored Society: Due Process for Automated Predictions, Washington Law Review, vol.89, 2014.

A. Datta, S. Sen, and Y. Zick, Algorithmic Transparency via Quantitative Input Influence: Theory and Experiments with Learning Systems, IEEE SP. 598-617, 2016.

C. Dwork, M. Hardt, T. Pitassi, O. Reingold, and R. S. Zemel, Fairness through awareness, Innovations in Theoretical Computer Science, pp.214-226, 2012.

C. Dwork and A. Roth, The Algorithmic Foundations of Differential Privacy, Foundations and Trends in Theoretical Computer Science, vol.9, pp.211-407, 2014.

M. Feldman, A. Sorelle, J. Friedler, C. Moeller, S. Scheidegger et al., Certifying and Removing Disparate Impact, Proceedings of the 21th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, pp.259-268, 2015.

A. Sorelle, C. Friedler, S. Scheidegger, and . Venkatasubramanian, On the (im)possibility of fairness, 2016.

I. Government-of, Ministry of Communications. 2018. DoT Letter on Net Neutrality Regulatory Framework, pp.31-38

S. Hajian and J. Domingo-ferrer, A Methodology for Direct and Indirect Discrimination Prevention in Data Mining, IEEE Trans. Knowl. Data Eng, vol.25, pp.1445-1459, 2013.

M. Herschel, R. Diestelkämper, and H. Ben-lahmar, A survey on provenance: What for? What form? What from? VLDB, J, vol.26, pp.881-906, 2017.

H. V. Jagadish, J. Gehrke, A. Labrinidis, Y. Papakonstantinou, J. M. Patel et al., Big data and its technical challenges, Commun. ACM, vol.57, pp.86-94, 2014.

F. Kamiran, I. Zliobaite, and T. Calders, Quantifying explainable discrimination and removing illegal discrimination in automated decision making, Knowl. Inf. Syst, vol.35, pp.613-644, 2013.

O. Kharif, YouTube, Netflix Videos Found to Be Slowed by Wireless Carriers, Bloomberg, 2018.

K. Kirkpatrick, It's Not the Algorithm, It's the Data, Commun. ACM, vol.60, pp.21-23, 2017.

J. M. Kleinberg, S. Mullainathan, and M. Raghavan, Inherent Trade-Offs in the Fair Determination of Risk Scores, 2017.

, 8th Innovations in Theoretical Computer Science Conference, vol.43, 2017.

J. A. Kroll, J. Huey, S. Barocas, E. W. Felten, J. R. Reidenberg et al., Accountable Algorithms. University of Pennsylvania Law Review, vol.165, 2017.

M. Lenzerini, Data Integration: A Theoretical Perspective, Proceedings of the Twenty-first ACM SIGMOD-SIGACT-SIGART Symposium on Principles of Database Systems (PODS '02, pp.233-246, 2002.

S. Mitchell, E. Potash, and S. Barocas, Prediction-Based Decisions and Fairness: A Catalogue of Choices, Assumptions, and Definitions, 2018.

A. Arash-molavi-kakhki, A. Razaghpanah, H. Li, R. Koo, D. Golani et al., Identifying Traffic Differentiation in Mobile Networks, Proceedings of the 2015 Internet Measurement Conference (IMC '15), pp.239-251, 2015.

H. Ping, J. Stoyanovich, and B. Howe, DataSynthesizer: Privacy-Preserving Synthetic Datasets, Proceedings of the 29th International Conference on Scientific and Statistical Database Management, vol.42, pp.1-42, 2017.

S. Marco-túlio-ribeiro, C. Singh, and . Guestrin, Why Should I Trust You?": Explaining the Predictions of Any Classifier, Proceedings of the 22nd ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, pp.1135-1144, 2016.

A. Romei and S. Ruggieri, A multidisciplinary survey on discrimination analysis, Knowledge Eng. Review, vol.29, pp.582-638, 2014.
DOI : 10.1017/s0269888913000039

URL : http://www.di.unipi.it/~ruggieri/Papers/ker.pdf

J. Stoyanovich and B. Howe, Follow the data! Algorithmic transparency starts with data transparency, 2018.

, The Ethical Machine, 2017.

J. Stoyanovich, B. Howe, S. Abiteboul, G. Miklau, A. Sahuguet et al., Fides: Towards a Platform for Responsible Data Science, Proceedings of the 29th International Conference on Scientific and Statistical Database Management, vol.26, pp.1-26, 2017.
URL : https://hal.archives-ouvertes.fr/hal-01522418

, The European Parliament AND Council, 2015.

, Regulation (EU) 2016/679: General Data Protection Regulation (GDPR), 2016.

, Int. No. 1696-A: A Local Law in relation to automated decision systems used by agencies, 2017.

T. Wu, Network Neutrality, Broadband Discrimination, Journal of Telecommunications and High Technology Law, vol.2, 2003.
DOI : 10.2139/ssrn.388863

K. Yang, J. Stoyanovich, A. Asudeh, B. Howe, H. V. Jagadish et al., A Nutritional Label for Rankings, Proceedings of the 2018 International Conference on Management of Data, SIGMOD Conference, pp.1773-1776, 2018.
DOI : 10.1145/3183713.3193568

URL : http://arxiv.org/pdf/1804.07890