May 2025
AI Applications and Ethical Considerations: Preparing Students to Lead Ethically in a Rapidly Evolving Landscape.
Artificial intelligence is no longer a future concept—it's here, reshaping how engineering departments educate students, how companies build products, and how institutions navigate ethical responsibilities. The 2025 ECEDHA Annual Conference featured a session titled "AI Applications and Ethical Considerations", offering faculty, administrators, and industry leaders a chance to explore the practical challenges and opportunities AI introduces ECE education.
The session brought together three leaders in the field:
- John Yue, CEO of Inference.ai,
- Dr. Amarda Shehu, Vice President and Chief AI Officer at George Mason University,
- Dr. Raziq Yaqub, Associate Professor at Alabama A&M University.
Each speaker highlighted not only the technical applications of AI in ECE but also emphasized how academic programs must evolve to address ethics in meaningful ways.
John Yue’s presentation focused on how Inference.ai is addressing the growing divide in access to AI infrastructure. With GPUs in short supply and often prohibitively expensive for students and institutions, Yue’s team has developed a virtualization platform that allows universities to fractionalize GPU resources based on actual project needs. This approach significantly reduces cost and waste, enabling schools like the University of Pennsylvania to support undergraduate AI programs with reliable, affordable infrastructure.
The platform also gives instructors administrative tools to monitor GPU usage and manage costs, allowing equitable access without compromising performance. Yue emphasized that preparing students for AI-driven careers means ensuring they can actually use the tools they’re learning about, especially as industry roles evolve beyond traditional junior developer positions.
Dr. Amarda Shehu shared George Mason University’s ambitious institutional vision: transforming the university into a nexus of AI innovation that cuts across all colleges and disciplines. Shehu outlined a framework of guiding principles that prioritize transparency, critical thinking, data privacy, and inclusive access. Rather than building new compliance structures from scratch, Mason is leveraging existing policies and integrating AI-related guidance into broader university governance.
Shehu also spoke about Mason’s new AI academic platform, which provides students and faculty access to over 1,800 AI models, including Microsoft’s OpenAI Foundry. The initiative is both bold and experimental, seeking to balance access and innovation with accountability. Mason is also launching foundational AI training modules and a newly approved Master’s in AI, open to students from diverse quantitative backgrounds.
In her words, "We are not teaching students just to observe the world. We are teaching them to change it—ethically, thoughtfully, and responsibly."
Dr. Raziq Yaqub brought a perspective on embedding ethics into real-world AI projects. At Alabama A&M, students work on capstone designs with industry partners, often tackling social and medical challenges using AI. Case studies included an AI-based pressure sensing cushion for individuals with paralysis, an RFID-guided climbing wall for visually impaired children, and a PTSD episode detection system that communicates with service dogs.
Yaqub’s approach includes integrating ethics into both curriculum and extracurricular activities. Students are taught to consider bias, data privacy, and equitable model development. His team also encourages participation in national ethics-in-AI competitions and collaborates with psychology faculty to help students understand the human impact of AI decisions.
The panelists agreed: industry-academia collaboration must go beyond internships and grants. It must include co-designed curricula, real-world use cases, and shared responsibility in defining ethical standards. Advisory boards, capstone projects, and certification programs were all suggested as scalable models to engage industry stakeholders in meaningful ways.
Yet, updating curriculum remains a challenge. As Dr. Shehu pointed out, faculty bandwidth, regulatory hurdles, and the speed of AI development complicate change. Her recommendation: start small—with one module, one project, or one skill—before scaling to full programs. Yaqub echoed this with his department’s practice of integrating AI modules into existing courses rather than waiting years for full course approval.
During the Q&A, the conversation turned to student misuse of AI tools like ChatGPT in introductory programming courses. Yue, Shehu, and Yaqub acknowledged the complexity of enforcing academic integrity in an AI-enabled world. Their message: don't ban the tools—teach students how to use them responsibly. Pen-and-paper tests, higher-order reasoning assessments, and prompt engineering courses were proposed as ways to build resilience and adaptability in students' learning processes.
The session closed with a challenge to ECE educators: if students are to lead in the AI revolution, they must understand both its power and its pitfalls. They must be fluent not only in programming languages but also in ethics, interdisciplinary collaboration, and system-level thinking. As Dr. Shehu reminded attendees, “Engineering students aren’t just observers. They’re changers of the world.”
