# Karen Panetta Advocates Ethics Across Engineering Curricula > Source: > Published: 2026-05-28 23:51:39.563949+00:00 # Karen Panetta Advocates Ethics Across Engineering Curricula In an interview with Interesting Engineering, Karen Panetta, IEEE Fellow and Dean of Graduate Education at Tufts University, argued that engineering graduate education is overdue for a serious rethink and must include ethics, real-world experience, and interdisciplinary context. Panetta, who is credited as a co-inventor of the first digital twin, said students need to learn not only tools but why those tools matter, including humanitarian and safety impacts. "Nobody's interested in looking at the nitty-gritty tools," she told Interesting Engineering. Editorial analysis: Embedding AI ethics and applied projects into engineering programs is an emerging priority across academia and industry, affecting hiring, curricula, and project evaluation. ### What happened In an interview with Interesting Engineering, **Karen Panetta**, IEEE Fellow and Dean of Graduate Education at **Tufts University School of Engineering**, argued that graduate engineering education requires a substantial overhaul to address the "Age of Algorithms." The article reports Panetta calling for coursework that moves beyond traditional mechanics and programming to include **AI ethics**, soft skills, interdisciplinary context, digital twin applications, and real-world project experience. The piece includes Panetta's direct quote: "Nobody's interested in looking at the nitty-gritty tools," which she used to emphasize context and impact over purely technical drills. ### Editorial analysis - technical context Industry-pattern observations: Engineering programs that integrate **ethics**, data literacy, and hands-on AI projects tend to produce graduates better equipped for system-level design, bias mitigation, and cross-functional collaboration. For practitioners, this typically means new graduates may enter teams with stronger grounding in deployment constraints, privacy considerations, and socio-technical risk assessment. Curricular changes often involve project-based learning, case studies on algorithmic harms, and partnerships with industry for realistic datasets and deployment scenarios. ### Editorial analysis - context and significance Universities updating curricula reflect wider pressures from regulators, employers, and public concerns about algorithmic harms. Programs that foreground ethics and impact can influence hiring expectations and signal to employers that graduates understand not just model training but governance, testing, and monitoring. This trend also intersects with accreditation conversations and professional engineering codes that increasingly reference responsible AI and safety. ### What to watch Observers should follow whether major engineering schools publish formal curriculum changes, whether accreditation bodies incorporate explicit AI-ethics criteria, and whether industry partners publish joint capstone or apprenticeship programs. Also watch for pedagogical resources and open curriculum modules that scale ethics instruction across large undergraduate and graduate cohorts. ## Scoring Rationale Curriculum change towards AI ethics affects hiring expectations and practitioner skills but is incremental rather than paradigm-shifting. The item is timely for educators and hiring managers. Practice interview problems based on real data 1,500+ SQL & Python problems across 15 industry datasets — the exact type of data you work with. [Try 250 free problems](/problems)