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Towards an ELSA Curriculum for Data Scientists
Version 1
: Received: 8 January 2024 / Approved: 8 January 2024 / Online: 8 January 2024 (10:40:53 CET)
A peer-reviewed article of this Preprint also exists.
Christoforaki, M.; Beyan, O.D. Towards an ELSA Curriculum for Data Scientists. AI 2024, 5, 504-515. Christoforaki, M.; Beyan, O.D. Towards an ELSA Curriculum for Data Scientists. AI 2024, 5, 504-515.
Abstract
The use of Artificial Intelligence (AI) applications in a growing number of domains in the latest years has put into focus Ethical Legal and Societal Aspects (ELSA) of these technologies and the relevant challenges they pose.
In this paper, we propose an ELSA Curriculum for Data Scientists aiming to raise awareness about ELSA challenges in their work, provide them with a common language with the relevant domain experts to cooperate to find appropriate solutions, and finally, incorporate ELSA in the data science workflow and not be seen as an impediment or a superfluous artifact, rather than an integral part of the Data Science Project Lifecycle.
The proposed curriculum uses the CRISP-DM model as a backbone to define a vertical partition, expressed in modules corresponding to the CRISP-DM phases. The horizontal partition includes knowledge units belonging to three strands that run through the phases, namely Ethical and Societal, Legal, and Technical Rendering Knowledge Units (KUs). In addition to the detailed description of the aforementioned KUs, we also discuss the implementation, issues such as duration, form, and evaluation of participants, as well as the variance of the knowledge level and needs of the target audience.
Keywords
AI ethics; Data Science; Artificial Intelligence; ELSA; Education
Subject
Computer Science and Mathematics, Artificial Intelligence and Machine Learning
Copyright: This is an open access article distributed under the Creative Commons Attribution License which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
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