Turini, Franco

Bias in data‐driven artificial intelligence systems—An introductory survey

Ntoutsi, E., Fafalios, P., Gadiraju, U., Iosifidis, V., Nejdl, W., Vidal, M., Ruggieri, S., Turini, F., Papadopoulos, S., Krasanakis, E., et al. (2020) · WIREs Data Mining and Knowledge Discovery

Ethics and Social Impacts of AIExplainable Artificial Intelligence (XAI)

Cited by 1,043

Discrimination-aware data mining

Pedreshi, D., Ruggieri, S., & Turini, F. (2008) · Proceedings of the 14th ACM SIGKDD international conference on Knowledge discovery and data mining

Ethics and Social Impacts of AIPrivacy-Preserving Technologies in Data

Cited by 676

A Survey Of Methods For Explaining Black Box Models

Guidotti, R., Monreale, A., Ruggieri, S., Turini, F., Pedreschi, D., & Giannotti, F. (2018) · arXiv

Explainable Artificial Intelligence (XAI)Software Testing and Debugging Techniques

Cited by 630

A Survey of Methods for Explaining Black Box Models

Guidotti, R., Monreale, A., Ruggieri, S., Turini, F., Giannotti, F., & Pedreschi, D. (2019) · ACM Computing Surveys

Explainable Artificial Intelligence (XAI)Software Testing and Debugging Techniques

Cited by 629

Factual and Counterfactual Explanations for Black Box Decision Making

Guidotti, R., Monreale, A., Giannotti, F., Pedreschi, D., Ruggieri, S., & Turini, F. (2019) · IEEE Intelligent Systems

Explainable Artificial Intelligence (XAI)Software Testing and Debugging Techniques

Cited by 349

k-NN as an implementation of situation testing for discrimination discovery and prevention

Luong, B. T., Ruggieri, S., & Turini, F. (2011) · Proceedings of the 17th ACM SIGKDD international conference on Knowledge discovery and data mining

Ethics and Social Impacts of AIDiscrimination and Equality Law

Cited by 263

GLocalX—From Local to Global Explanations of Black Box AI Models

Setzu, M., Guidotti, R., Monreale, A., Turini, F., Pedreschi, D., & Giannotti, F. (2021) · Artificial Intelligence

Explainable Artificial Intelligence (XAI)Software Testing and Debugging Techniques

Cited by 140

Integrating induction and deduction for finding evidence of discrimination

Pedreschi, D., Ruggieri, S., & Turini, F. (2009) · Proceedings of the 12th International Conference on Artificial Intelligence and Law

Ethics and Social Impacts of AIArtificial Intelligence in Law

Cited by 55

A study of top-k measures for discrimination discovery

Pedreschi, D., Ruggieri, S., & Turini, F. (2012) · Proceedings of the 27th Annual ACM Symposium on Applied Computing

Ethics and Social Impacts of AIPrivacy-Preserving Technologies in Data

Cited by 52