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As engineers shape the future of technology and society, embedding human rights into engineering education is essential for fostering ethical practices, enhancing access to technological benefits, and addressing harm caused by engineered products or processes. This research will examine the attitudes of engineering students toward human rights and will explore the effectiveness of targeted educational interventions in fostering a deeper understanding of the intersection between engineering and human rights principles. Conducted with a senior design engineering class, the research will use pre- and post-intervention surveys to measure changes in students’ perceptions. The intervention consists of asynchronous online modules that integrate foundational human rights concepts with practical engineering applications, including sustainability, ethics, and social justice. The modules are organized around six key clusters, but this poster focuses on cybersecurity, privacy, and human vulnerability. Using a case study of Emancipatory AI, the poster highlights its potential to empower marginalized groups by breaking down barriers to technology access. This case study illustrates how human rights principles, including equity and accessibility, can guide the ethical development and application of AI to address systemic inequalities and promote social inclusion. We aim for this poster to encourage reflection on the role of human rights in engineering and the ways AI can be leveraged as a tool for the social good. This work reinforces the importance of integrating human rights considerations into engineering practice to create more inclusive and just technological solutions.
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Human Rights are (Increasingly) Plural: Learning the Changing Taxonomy of Human Rights from Large-scale Text Reveals Information Effects
This manuscript helps to resolve the ongoing debate concerning the effect of information communication technology on human rights monitoring. We reconceptualize human rights as a taxonomy of nested rights that are judged in textual reports and argue that the increasing density of available information should manifest in deeper taxonomies of human rights. With a new automated system, using supervised learning algorithms, we are able to extract the implicit taxonomies of rights that were judged in texts by the US State Department, Amnesty International, and Human Rights Watch over time. Our analysis provides new, clear evidence of change in the structure of these taxonomies as well as in the attention to specific rights and the sharpness of distinctions between rights. Our findings bridge the natural language processing and human rights communities and allow a deeper understanding of how changes in technology have affected the recording of human rights over time.
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- Award ID(s):
- 1753528
- PAR ID:
- 10221830
- Date Published:
- Journal Name:
- American Political Science Review
- Volume:
- 114
- Issue:
- 3
- ISSN:
- 0003-0554
- Page Range / eLocation ID:
- 888 to 910
- Format(s):
- Medium: X
- Sponsoring Org:
- National Science Foundation
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- Free Publicly Accessible Full Text
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Accepted Manuscript1.0
- Journal Article:
- https://doi.org/10.1017/S0003055420000258
