Most Recent Publication

Kim. D., Zhu, Q., & Eldardiry, H. (2024). Toward a policy approach to normative artificial intelligence governance: Implications for AI ethics education. IEEE Transactions on Technology and Society. Advance online publication. https://doi.org/10.1109/TTS.2024.3430940

There has been a trend among various stakeholders for AI governance, such as the government, industry, and academia, that advocates for a shift from traditional ethics approach to more recent policy-oriented approach. This paper starts by briefly introducing the motivation for such a change. To further help AI ethics researchers ground their discussion about how to operationalize abstract AI ethics into actionable policy, it introduces existing literature about AI policy development efforts with ethics focus. We also discuss the implications of the policy approach to normative AI governance for training the next generation of AI professionals. More specifically, this paper introduces two approaches that AI educators can employ to encourage their students to participate in policy discussions and practical exercises in AI-related courses. The insights derived from this paper hold particular significance for AI professionals, educators, and policymakers aiming to translate general AI ethics principles into operationalizable action items with broader policy implications in the design of AI systems.

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Who We Are

LANCSET (Laboratory and Network for the Cultural Studies of Engineering and Technology) is an interdisciplinary research group at Virginia Tech. ​

Based in Virginia Tech, LANCSET is an open, inclusive laboratory & community consisting of scholars committed to studying technology and engineering from culturally responsive perspectives. The group is committed to making visible and challenging cultural values and ideologies prominent in training, practices, and policies surrounding engineering and technology, using empirical and experimental methodologies to study the effects of cultural values and norms on these environments. LANCSET explores cultural factors affecting technological ecologies responsible for deprioritizing, marginalizing, or excluding individuals and groups, working to incorporate cultural resources from overlooked, non-Western traditions – especially Confucianism – into the design of professional training and emerging technologies, for example, robotics and AI-enabled technologies. It also conducts philosophical and critical studies of cultural practices in engineering education (e.g., medicalization and psychologization).

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