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- Engineering Ethics Division (ETHICS) Technical Session - GenAI in ethics education
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- 2025 ASEE Annual Conference & Exposition
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Sourojit Ghosh, University of Washington; Sarah Marie Coppola, University of Washington
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Engineering Ethics Division (ETHICS)
within GAI usage, such asidentifying when GAI tools might produce disproportionately poor and harmful outcomes towards historicallymarginalized populations when there might be mismatches between GAI outputs and user needs, and when GAIusage might be inappropriate given specific design conditions and target populations. In particular, the course soughtstudents with little to no coding/CS experience in enacting change within GAI usage policies, countering the popularrhetoric that GAI issues are inherently technical and therefore need technical knowledge to overcome. In this paper, we present the course syllabus and findings from teaching this course across two cohorts. Weconducted semi-structured interviews with students after the
- Conference Session
- Engineering Ethics Division (ETHICS) Technical Session - Ethics in ML/AI
- Collection
- 2025 ASEE Annual Conference & Exposition
- Authors
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Jenny Tilsen, Bucknell University; Robert M Nickel, Bucknell University; Stewart Thomas, Bucknell University; Sarah Appelhans, Lafayette College; Alan Cheville, Bucknell University
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Engineering Ethics Division (ETHICS)
stories.STEMtelling story prompts were created in alignment with the objectives of the course, therebyanchoring STEMtelling as an integrated activity. For example, one of the learning objectives was to“utilize more advanced machine learning tools such as neural networks” (from the syllabus of ECEG478, Machine Learning and Intelligent Systems, Spring 2025, Bucknell University). TheSTEMtelling prompt designed to align with the subsequent learning objective was: “Author a storyabout a time when you learned how a technological device or system damaged the environment in aplace that you care about.” The description that follows is not an exhaustive explanation of howSTEMtelling works. Instead, it is a brief depiction to articulate the process: 1
- Conference Session
- Engineering Ethics Division (ETHICS) Technical Session - Student understanding
- Collection
- 2025 ASEE Annual Conference & Exposition
- Authors
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Diana Adela Martin, University College London
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Diversity
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Engineering Ethics Division (ETHICS)
asked to falsifydata (Diana Bairaktarova - DB). The course introduced the speakers via the syllabus, whichprovided a description of their profile and a profile photo (Table 2). The timing of eachsession was linked to specific lecture content, as seen in Table 1.Table 2. Organisation of living library sessions Order Guest speaker / Storyteller Linked lecture(s) of thematic sessions 1 Laura Nolan is a software engineer with two decades of Risk and uncertainty experience, with a focus on reliability in distributed in decision-making systems. In 2018, Laura left Google after being asked to