Challenge-Device-Synthesis: A multi-disciplinary approach for the development of social innovation competences for students of Artificial Intelligence

Matías Bilkis, Joan Moya Kohler, Fernando Vilariño
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Abstract

The advent of Artificial Intelligence is expected to imply profound changes in the short-term. It is therefore imperative for Academia, and particularly for the Computer Science scope, to develop cross-disciplinary tools that bond AI developments to their social dimension. To this aim, we introduce the Challenge-Device-Synthesis methodology (CDS), in which a specific challenge is presented to the students of AI, who are required to develop a device as a solution for the challenge. The device becomes the object of study for the different dimensions of social transformation, and the conclusions addressed by the students during the discussion around the device are presented in a synthesis piece in the shape of a 10-page scientific paper. The latter is evaluated taking into account both the depth of analysis and the level to which it genuinely reflects the social transformations associated with the proposed AI-based device. We provide data obtained during the pilot for the implementation phase of CDS within the subject of Social Innovation, a 6-ECTS subject from the 6th semester of the Degree of Artificial Intelligence, UAB-Barcelona. We provide details on temporalisation, task distribution, methodological tools used and assessment delivery procedure, as well as qualitative analysis of the results obtained.
挑战-设备-合成:培养人工智能专业学生社会创新能力的多学科方法
人工智能的出现预计将在短期内带来深刻的变化。因此,学术界,尤其是计算机科学领域,必须开发跨学科工具,将人工智能的发展与社会层面联系起来。为此,我们引入了 "挑战-设备-合成 "方法论(CDS),向人工智能专业的学生提出一个具体的挑战,要求他们开发一个设备来解决这个挑战。该装置将成为社会变革不同层面的研究对象,学生们在围绕该装置的讨论中得出的结论将以 10 页科学论文的形式综合呈现。在对论文进行评估时,我们既考虑了分析的深度,也考虑了论文在多大程度上真正反映了与拟议的人工智能设备相关的社会变革。我们提供了在巴塞罗那阿拉伯商学院(UAB-Barcelona)人工智能学位第 6 学期的 6-ECTS 课题--社会创新(Social Innovation)中,CDS 实施阶段试点期间获得的数据。我们提供了有关时间安排、任务分配、所用方法工具和评估交付程序的详细信息,以及对所获结果的定性分析。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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