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  1. Home
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The letters AI for Artificial Intelligence on a stylized computer chip.

Artificial Intelligence at Embry-Riddle​

Advancing Aviation, Aerospace and Safety With Applied AI

An Integrated Approach to AI

Artificial intelligence (AI) at Embry‑Riddle Aeronautical University is a university-wide capability integrated across academics, research and student experience. Rather than existing as a single program, AI is embedded throughout aviation, aerospace, engineering, data science, cybersecurity and teaching innovation.

Our focus is on applying intelligent systems to solve real-world challenges in complex, high-stakes environments like aviation safety, flight operations, autonomous systems and engineering innovation.

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  • Academic Opportunities

  • Teaching and Learning

  • Campus Resources

  • Research and Innovation

A person stands in front of a screen giving a presentation to students seated around a table.

Embry‑Riddle offers a growing range of programs and courses that integrate AI across disciplines and programs — from dedicated certificates and minors to machine learning coursework. 

Students at all levels gain focused, industry-connected education that blends technical depth with real-world application, particularly in AI-enabled aviation and aerospace systems.

Dedicated AI Programs

The Undergraduate Certificate and Minor in Artificial Intelligence, Ethics and Creativity provides a multidisciplinary introduction to AI that blends technical literacy with ethical reasoning and creative application.

Designed for both degree-seeking students and non-degree learners, these programs explore generative AI, real-world use cases and the societal impact of intelligent technologies while incorporating perspectives from the humanities and cognitive science.

AI-Focused Courses

Embry‑Riddle offers a comprehensive suite of AI-focused courses at both undergraduate and graduate levels.

Undergraduate courses build foundational skills in prompt engineering, data analysis and AI-driven research while exploring societal and ethical implications.

Graduate courses advance into specialized topics such as AI-driven risk assessment, digital engineering, big data systems and advanced machine learning methods.

Related Degree Programs with AI Components

The B.S. in Data Science and the M.S. in Data Science both equip students with skills in machine learning, data mining, visualization and analytics through hands-on, project-based learning.

The A.S in Uncrewed and Autonomous Systems, the B.S. in Uncrewed and Autonomous Systems  and the B.S. in Uncrewed Aircraft Systems utilize AI applications in flight automation, AI-supported mapping, remote sensing and geospatial analysis.

The B.S. in Space Operations and M.S. in Space Operations also utilize AI applications.

Programs such as the MBA in Aviation Business and M.S. in Security and Intelligence Studies integrate AI into specialized domains, applying predictive analytics, simulation and decision-support tools to aviation operations, cybersecurity and intelligence work.

A professor watches two students who are using a flight simulator.
At Embry‑Riddle, artificial intelligence is woven throughout the curriculum — not only as a subject of study, but as a powerful tool for learning, research and creative work.

Students engage with AI in meaningful, hands-on ways that reflect real-world applications.

Faculty ensure AI is used as both a learning tool and subject, with strong emphasis on ethical use, project-based learning, cross-disciplinary integration and preparation for real-world applications.

AI as a Learning Tool

Students actively use AI tools across disciplines, learning to create content, apply prompt engineering, build chatbots and analyze data using AI-driven methods. This hands-on, practical experience prepares students for job-ready capabilities in their respective fields.

Ethical and Responsible Use

Students explore bias, fairness, transparency, privacy and societal impacts of AI while applying ethical frameworks. This ensures responsible and thoughtful use of AI across industries and prepares students to be informed stewards of AI technology.

Project-Based Learning and Research

AI is integrated into projects and capstones where students apply machine learning, support research and solve real-world problems across aviation, engineering and business. This approach connects classroom learning directly to industry challenges.

Interdisciplinary Learning

AI is taught across engineering, business, humanities and psychology, helping students understand both the technical and human dimensions of artificial intelligence. This breadth ensures graduates can engage with AI thoughtfully and holistically.

Embry‑Riddle’s AI ecosystem extends beyond research and the classroom, bringing together faculty, students and industry partners through shared initiatives and events.

AI Summit

The Embry‑Riddle AI Summit convenes experts from academia and industry to explore emerging applications of AI in aviation, aerospace and education.

  • 2025 Summit Recap
  • 2024 Summit Recap

AI Tools and Resources for the Embry-Riddle Community

Year-round, AI is supported across all campuses through workshops, faculty development programs, instructional innovation and interdisciplinary collaboration.

Embry‑Riddle provides students, faculty and staff with access to a growing suite of AI tools to support productivity, learning and career readiness. University-provided options include Microsoft Copilot Chat, Microsoft 365 Copilot, ChatGPT, Canva Magic Studio, Zoom AI Companion, Scite AI for research and Quinncia — a free AI assistant that helps students prepare resumes and practice for interviews.

To build AI skills, the community can enroll in the Generative AI Foundations course on Canvas, explore LinkedIn Learning courses on prompt engineering and AI ethics, or tap into Microsoft's Copilot Learning Hub. Faculty and staff have additional support through the Centers for Teaching and Learning Excellence. Additionally, Generative AI for Teaching and Scholarship training is available for faculty.

A student stands in front of a research board
Embry‑Riddle advances artificial intelligence through applied, real-world research that spans aviation, aerospace, engineering, business and environmental systems. Faculty and students work together to develop AI solutions that improve safety, enhance training and drive innovation across industries.

 

AI for Pilot Training and Education

AI-Enhanced Flight Training Debriefings
AI tools analyze student flight performance and generate detailed debriefings with visualizations and personalized feedback, accelerating learning and building competency faster.

AI-Supported Communication and Decision Training
AI-driven systems help students practice communication and decision-making in realistic scenarios before entering real-world flight operations, improving readiness and confidence.

AI in Business, Logistics and Industry

AI in Business and Logistics Optimization
Faculty research advances AI-driven solutions for logistics optimization, supply chain management, business operations, decision analytics and forecasting, demonstrating AI’s broader impact across industries.

AI in Autonomous Systems and Environmental Research

Drones and AI for Environmental Monitoring
Researchers use unmanned aerial vehicles (UAVs) and AI to analyze ecosystems and environmental changes. Advanced sensing technologies and machine learning enable identification of vegetation patterns and environmental monitoring across Florida’s natural systems.

AI for Aviation Safety and Operations

AI for Aviation Communication
Researchers have developed AI systems that analyze complex pilot-controller communications, helping reduce misunderstandings caused by noise, accents and terminology. This work directly improves safety and clarity in high-stakes flight operations.

Predicting and Preventing Flight Risks
Machine learning models analyze flight data to identify patterns associated with loss-of-control and other high-risk events, enabling more proactive safety measures and evidence-based decision-making in aviation operations.

AI Reliability and Cybersecurity

AI Reliability Research
Embry‑Riddle is focused on ensuring AI systems are secure, reliable and trustworthy — especially in safety-critical aviation and engineering environments. Research focuses on improving the dependability of AI systems used in high-consequence applications.

AI for Cybersecurity
AI is used to detect and respond to cyber threats, helping protect aviation and aerospace systems from emerging risks and vulnerabilities.

AI News at Embry-Riddle

Dr. Burak Cankaya lectures in front of white board.
Across Continents, Embry-Riddle Professor Advances AI Solutions for Business and Logistics
March 9, 2026
Screenshot of an AI-powered flight simulation software.
Aviation Week Op-Ed: AI Enhances Pilot Training With Supercharged Debriefings, Embry-Riddle President Writes
February 19, 2026
 An Embry-Riddle AI Summit attendee checks out the Portable Cockpit Demonstrator.
Embry-Riddle’s AI Summit Examines the Technology’s Rising Impact in Academia, Industry
November 14, 2025
Natalie Byrd, a senior majoring in Spaceflight Operations and Aerospace Physiology, shares her research examining what an all-female crew on NASA's Gateway lunar space station would look like. Byrd was among several Embry-Riddle students selected to present at the 2025 International Space Development Conference as part of the inaugural Rising Stars program. (Photo: Embry-Riddle/Burt Dicht)
Say Again: Embry‑Riddle Researchers Develop AI System to Decode Aviation Speak
August 27, 2025

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