Integrating AI Ethics and Bias Awareness into Undergraduate Engineering Education: A Curriculum-Embedded Framework

Authors

DOI:

https://doi.org/10.16920/jeet/2026/v39is3/26099

Keywords:

Algorithmic Bias; Curriculum Design; Engineering Education; Ethical Awareness; Responsible Innovation; Sustainable Development Goals

Abstract

The current engineering education system faces rising difficulties in developing students who can practice responsibility when working with AI systems in technological environments. The growing use of AI systems across industries has not led to ethical reasoning and bias awareness becoming core components of undergraduate engineering education because these subjects continue to exist as optional courses. Students face learning obstacles because they cannot predict how engineering work will affect society through their lack of necessary information. The research study introduces a new educational framework which embeds AI ethics and bias awareness education into undergraduate engineering programs to make ethical competence a fundamental learning objective instead of an additional requirement. The educational framework consists of four main teaching components: learning about the ethical risks of AI systems, analysing how society will be affected, performing hands-on activities for practical learning, and practising ethical choices in real engineering environments. The framework underwent its initial test through a pilot program that took place during the 2024–25 academic year at a shared undergraduate course that enrolled B.Tech and MCA students (total enrolment of 120 students; 106 students completed matched longitudinal surveys). The research study conducted a longitudinal assessment which tracked how students developed their ability to recognize ethical issues and their skills to detect bias and their confidence in making ethical choices and their knowledge about artificial intelligence effects on society. The results demonstrate that all learning outcomes showed major progress because large effect sizes appeared between baseline and post-intervention assessments. Faculty members showed through their feedback that the new content could fit into existing courses without requiring major changes to the curriculum structure. The findings demonstrate that ethics-integrated pedagogy can meaningfully enhance engineering students’ readiness for responsible innovation. The study provides engineering educators with practical knowledge which helps them integrate ethical skills into their outcome-based and practice-focused educational programs.

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Published

2026-02-28

How to Cite

Nanade, S., Dash, D., Rizvi, A. H., & Kumar, A. (2026). Integrating AI Ethics and Bias Awareness into Undergraduate Engineering Education: A Curriculum-Embedded Framework. Journal of Engineering Education Transformations, 39(3), 68–78. https://doi.org/10.16920/jeet/2026/v39is3/26099

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