This research aims to explore explainable artificial intelligence, a new sub field of artificial intelligence that is gaining importance in academic and business literature due to increased use of intelligent systems in our daily lives. As part of the research project, first of all, the necessity of the explainability in AI systems will be explained in terms of accountability, transparency, liability, and fundamental rights & freedoms. The latest explainable AI algorithms introduced by the AI researchers will be examined firstly from technical and then, from legal perspectives. Their statistical and legal competencies will be analyzed. After detecting the deficiencies of the current solutions, a comprehensive and technical AI system design will be proposed which satisfies not only the statistical requisites; but also the legal, ethical, and logical requisites.

Examination of Current AI Systems within the Scope of Right to Explanation and Designing Explainable AI Systems / Orhan Gazi Yalcin. - ELETTRONICO. - 2598:(2020), pp. 1-11. (Intervento presentato al convegno 7th JURIX Doctoral Consortium, DC JURIX 2019. tenutosi a Madrid, Spain nel December 11, 2019).

Examination of Current AI Systems within the Scope of Right to Explanation and Designing Explainable AI Systems

Orhan Gazi Yalcin
2020

Abstract

This research aims to explore explainable artificial intelligence, a new sub field of artificial intelligence that is gaining importance in academic and business literature due to increased use of intelligent systems in our daily lives. As part of the research project, first of all, the necessity of the explainability in AI systems will be explained in terms of accountability, transparency, liability, and fundamental rights & freedoms. The latest explainable AI algorithms introduced by the AI researchers will be examined firstly from technical and then, from legal perspectives. Their statistical and legal competencies will be analyzed. After detecting the deficiencies of the current solutions, a comprehensive and technical AI system design will be proposed which satisfies not only the statistical requisites; but also the legal, ethical, and logical requisites.
2020
DC JURIX 2019. Proceedings of the Seventh JURIX 2019 Doctoral Consortium
1
11
Examination of Current AI Systems within the Scope of Right to Explanation and Designing Explainable AI Systems / Orhan Gazi Yalcin. - ELETTRONICO. - 2598:(2020), pp. 1-11. (Intervento presentato al convegno 7th JURIX Doctoral Consortium, DC JURIX 2019. tenutosi a Madrid, Spain nel December 11, 2019).
Orhan Gazi Yalcin
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Utilizza questo identificativo per citare o creare un link a questo documento: https://hdl.handle.net/11585/758346
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