AI Design and Deployment Risks for Aerospace Applications – Online Short Course (Starts 29 April 2025) 29 April 2025 - 8 May 2025 Online

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AI Design and Deployment Risks for Aerospace Applications – Online Short Course (Starts 29 April 2025)


  • From 29 April – 8 May 2025 (2 Weeks, 4 Lectures/Classes, 8 Total Hours)
  • Every Tuesday and Thursday from 1–3 p.m. Eastern Time (all sessions will be recorded and available for replay; course notes will be available for download)
  • Deepen your understanding of aerospace autonomy and AI risk management with this fourth AIAA course in the Responsible AI series. It focuses on measuring, assessing, and mitigating the inherent risks in AI systems, from safety and security to governance and legal interventions.
  • All students will receive an AIAA Certificate of Completion at the end of the course.

OVERVIEW

This is the third in a series of AIAA Artificial Intelligence (AI) short courses focusing on Responsible AI. These courses are tailored to equip aerospace professionals with the essential knowledge, skills, and analytical abilities to tackle the challenges of responsibly designing and deploying AI-integrated systems. As AI becomes increasingly embedded in aerospace, it presents significant opportunities for efficiency, cost reduction, and safety enhancement. However, recognizing and mitigating the associated risks is essential to ensure the safety, reliability, and ethical integrity of these technologies.

This course will explore the fundamental issues that underpin risk inherent in aerospace systems that utilize AI. Students will learn how to measure these risks, assess the impacts and harms that could result from AI, and formulate plans for managing risks including testing, maintenance, governance and legal interventions. Topics will include AI robustness, generalizability, validity, reliability, safety, and security.
These topics will be examined through specific aerospace use cases and current events, providing a grounded understanding of the challenges and considerations in autonomy and AI for the aerospace sector. This course will cover examples and use cases of AI applications in aerospace such asunderstanding AI risk fundamentals, measuring AI risks, predicting and assessing AI impact, and formulating risk management plans.

AUDIENCE
This course is designed for professionals tasked with driving the safe and effective integration of AI within their organizations, including the design, testing, and deployment of cutting-edge AI-based aerospace technologies.

COURSE FEES (Sign-In to Register)
– AIAA Member Price: $495 USD
– Non-Member Price: $595 USD
– AIAA Student Member Price: $295 USD

CLASSROOM HOURS / CEUs: 8 classroom hours / 0.8 CEU/PDH

Cancellation Policy: A refund less a $50.00 cancellation fee will be assessed for all cancellations made in writing prior to 5 days before the start of the event. After that time, no refunds will be provided.

Contact: Please contact Lisa Le or Customer Service if you have any questions about the course or group discounts.

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