Why a Right to Legibility of Automated Decision-Making Exists in the General Data Protection Regulation
By Gianclaudio Malgieri, Giovanni Comandé. 2017
172 citations recorded by the source corpus.
Subfields: Law, Safety Research
How researchers see this paper
The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.
In Law
- Salvatore Ruggieri
- Franco Turini
- Dino Pedreschi
- Fosca Giannotti
- Riccardo Guidotti
- Sara Hajian
- Xintao Wu
- Faisal Kamiran
In Safety Research
- Salvatore Ruggieri
- Fosca Giannotti
- Dino Pedreschi
- Riccardo Guidotti
- Franco Turini
- Anna Monreale
- Indrė Žliobaitė
- Xintao Wu
Citations in the corpus
- A Survey of Methods for Explaining Black Box Models (2018, background): “Despite divergent opinions among legal scholars regarding the real scope of these clauses [36, 74, 126], there is a general agreement on the need for the implementation of such a principle is urgent and that it represents today a huge open scientific challenge.”
- Meaningful Explanations of Black Box AI Decision Systems (2019, background): “Without an enabling technology for explanation this right will either remain “dead letter”, or will just outlaw many opaque AI systems (Goodman and Flaxman 2016; Malgieri and Comand´e 2017).”
- Generative causal explanations of black-box classifiers (2020, background): “Policy discussions about machine learning have increasingly turned to principles of transparency and fairness [77], with some legal scholars arguing that the 2016 European General Data Protection Regulation (GDPR) contains a “right to explanation” [78], and recent G20 and OECD recommendations both i”
- The hidden assumptions behind counterfactual explanations and principal reasons (2019, unknown): “sions, and, if it exists, whether and when it requires an explanation of specific decisions or the model [4, 5, 10, 19, 26, 28, 39, 46].”
- Legal requirements on explainability in machine learning (2020, background): “The majority of scholars support this requirement of explanation (Goodman and Flaxman 2016; Malgieri and Comandé 2017; Edwards and Veale 2018; Selbst and Powles 2017).”
- Doctor XAI: an ontology-based approach to black-box sequential data classification explanations (2020, background): “22 of the GDPR (General Data Protection Regulation) [34].”
- Open the Black Box Data-Driven Explanation of Black Box Decision Systems (2018, background): “Without an enabling technology capable of explaining the logic of black boxes, this right will either remain “dead letter”, or will just outlaw many such systems [19, 31, 43].”