“Antisocial Today and Also Always”?: A Qualitative Examination of Engineering Students’ Social Considerations in Robot Design for Healthcare
In this article, we investigate influences of social positionality, designer bias and educational exposure on algorithmic design in healthcare. Against the backdrop of literature on designer bias that points to how it contributes to disproportionate, discriminatory and unethical impacts for racialized and gendered bodies, this study tests this argument with an experiential case study involving Aldebaran’s NAO robot and mechatronics and robotics engineering students at a university in S. E. Ontar
Record details
Published: 24 July 2026
Source: Science and Engineering Ethics
Category: Research
Topics: Bias & fairness · Healthcare · Children & education · Agents & autonomy
Retrieved: 25 July 2026
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How to cite this record
ethics.ai (24 July 2026), ““Antisocial Today and Also Always”?: A Qualitative Examination of Engineering Students’ Social Considerations in Robot Design for Healthcare,” evidence record 13175, https://ethics.ai/record/13175 (originally published by Science and Engineering Ethics).
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