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.

翻译：人工智能的到来预计将在短期内引发深刻变革。因此，学术界，特别是计算机科学领域，亟需开发跨学科工具，将人工智能发展与其社会维度紧密结合。为此，我们提出了挑战-设备-综合方法，即向人工智能专业学生提出一个具体挑战，要求他们开发一种设备作为解决方案。该设备成为社会转型不同维度的研究对象，学生在围绕设备进行讨论时得出的结论，将以一篇10页科学论文形式的综合报告呈现。后者的评估既考虑分析的深度，也考量其真实反映与所提出基于人工智能设备相关的社会转型的程度。我们提供了在巴塞罗那自治大学人工智能学位第六学期社会创新课程中实施CDS试点阶段获得的数据。我们详细说明了时间安排、任务分配、所用方法论工具及评估交付程序，并对所获结果进行了定性分析。