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Title: AI Ethics: Algorithmic Determinism or Self-Determination? The GPDR Approach
Authors: Milossi, Maria
Alexandropoulou-Egyptiadou, Eugenia
Psannis, Kostas E.
Type: Article
Subjects: FRASCATI::Social sciences::Law
FRASCATI::Engineering and technology::Other engineering and technologies
Keywords: AI
Artificial intelligence
data protection
Prediction algorithms
Medical services
Issue Date: 12-Apr-2021
Publisher: IEEE
Source: IEEE Access
Volume: 9
First Page: 58455
Last Page: 58466
Abstract: Artificial Intelligence (AI) refers to systems designed by humans, interpreting the already collected data and deciding the best action to take, according to the pre-defined parameters, in order to achieve the given goal. Designing, trial and error while using AI, brought ethics to the center of the dialogue between tech giants, enterprises, academic institutions as well as policymakers. Ethical challenges in AI brought ethical AI framework in place in an attempt to regulate people's lives and interactions, used for the benefit of society, for the human rights' protection as well as for the respect of individual's privacy and autonomy. The paper aims to summarize and critically evaluate the basic principles for the use of AI, with emphasis to the General Data Protection Regulation's (GDPR) approach, concerning data subject's consent, data protection principles and data subject's rights in a context of `privacy by design' architecture.
Electronic ISSN: 2169-3536
Other Identifiers: 10.1109/ACCESS.2021.3072782
Appears in Collections:Department of Applied Informatics

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