Apply now
CourseDefense, Military Engineering & Land Systems Applications open

Course in Ethics in Artificial Intelligence in Flight Systems

Online 300 h course in ethics in artificial intelligence in flight systems. 6 modules covering DO-178C (software in airborne systems), ARP4754B (development of aircraft and systems) and MATLAB/Simulink. Dedicated tutor and open enrolment.

Duration300 h
ModeOnline
Start datesSet by the faculty
AwardSEIUM Institute certificate
Enrol now View syllabus Ask an advisor
Virtual lab · try it before you enrol

Take the controls.

Run a real engineering trade-off from this field. Move the sliders, watch the model react in real time and beat the challenge.

SIM · LIVE ●
Learning outcomes

What you will be able to do

01

Describe applications of AI in flight systems.

02

Apply EASA certification and assurance approaches for AI.

03

Analyse the effects of automation on the flight crew.

04

Assign responsibilities for failures of AI-based functions.

05

Assess the safety of a flight function based on machine learning.

06

Integrate ethical considerations into aeronautical design.

07

Develop a flight function project with AI and its safety case.

Profile

Who it's for

  • Aeronautical certification engineer looking to specialise in Ethics in Artificial Intelligence in Flight Systems.
  • Embedded software engineer looking to specialise in Ethics in Artificial Intelligence in Flight Systems.
  • Human factors specialist looking to specialise in Ethics in Artificial Intelligence in Flight Systems.
  • Avionics engineer looking to specialise in Ethics in Artificial Intelligence in Flight Systems.
  • Aeronautical AI engineer looking to specialise in Ethics in Artificial Intelligence in Flight Systems.
  • Systems safety analyst looking to specialise in Ethics in Artificial Intelligence in Flight Systems.
  • Graduates in engineering or science seeking to enter the aerospace industry.
Standards & tools

What you'll work with

  • DO-178C (software in airborne systems)
  • ARP4754B (development of aircraft and systems)
  • EASA guidance on Level 1 and 2 AI (machine learning)
  • ARP4761 (safety assessment)
  • Regulation (EU) 2018/1139 (EASA basic regulation)
  • Regulation (EU) 2024/1689 (AI Act)
Syllabus

6 modules · 300 h

  1. 1.1Avionics and flight control systems
  2. 1.2Autopilot and flight management
  3. 1.3AI in traffic detection and avoidance
  4. 1.4Computer vision for landing
  5. 1.5AI-based cabin assistants
  6. 1.6Predictive aircraft maintenance
  7. 1.7Single-pilot operation: debate
  8. 1.8AI in military combat aircraft
  9. 1.9EASA taxonomy: AI levels 1, 2 and 3
  10. 1.10Workshop: classifying AI functions according to EASA
  1. 2.1DO-178C and its limitations with AI
  2. 2.2ARP4754A and systems development
  3. 2.3EASA guidance for machine learning
  4. 2.4Assurance of learning and data
  5. 2.5Generalisation and operational domain
  6. 2.6Robustness and explainability in avionics
  7. 2.7Runtime monitors
  8. 2.8'Simplex' safety architectures
  9. 2.9Emerging standards: ARP6983
  10. 2.10Practice: assurance plan for a vision model
  1. 3.1Ironies of automation
  2. 3.2Overtrust and loss of skills
  3. 3.3Mode confusion
  4. 3.4Air France 447 and automation management
  5. 3.5Boeing 737 MAX: design, training and transparency
  6. 3.6Pilot–AI interface design
  7. 3.7Competency-based training and instruction
  8. 3.8Communicating uncertainty to the pilot
  9. 3.9Ultimate pilot authority
  10. 3.10Case study: human factors analysis of flight AF447
  1. 4.1Liability of manufacturers, operators and pilots
  2. 4.2Regulation (EU) 2024/1689 and aviation
  3. 4.3Accident investigation involving AI
  4. 4.4Flight recorders and AI data
  5. 4.5Transparency towards authorities
  6. 4.6Military airworthiness and AI
  7. 4.7IHL and aircraft with autonomous functions
  8. 4.8Aviation cybersecurity: DO-326A
  9. 4.9Insurance and liability
  10. 4.10Case study: incident involving a collision avoidance system
  1. 5.1Safety as a paramount value
  2. 5.2Commercial pressure in certification
  3. 5.3Safety culture and reporting
  4. 5.4Equity in access to safe technology
  5. 5.5Employment impact on pilots
  6. 5.6Public trust in autonomous aviation
  7. 5.7Sustainability and efficiency with AI
  8. 5.8Responsibility of the aeronautical engineer
  9. 5.9Professional codes of ethics
  10. 5.10Workshop: ethical analysis of a single-pilot proposal
  1. 6.1Selection of the AI function
  2. 6.2Definition of the operational domain
  3. 6.3Assurance and certification plan
  4. 6.4Human factors analysis
  5. 6.5Safety risk analysis
  6. 6.6Liability analysis
  7. 6.7Test plan
  8. 6.8Final ethical assessment
  9. 6.9Report and presentation
  10. 6.10Final review with the tutor
Methodology, software & labs

How you'll learn

Delivered 100 % online on the SEIUM campus, with downloadable material, recorded classes and an assigned technical tutor. There are no fixed timetables: students progress at their own pace within the intake, which makes it possible to combine study with work.

Each module combines theory, guided reading of the original standard and applied exercises. The working software is MATLAB/Simulink, SCADE Suite, X-Plane, Python (PyTorch), in free, academic or evaluation versions. Tests are studied using real flight simulator procedures, functional safety analysis and cabin human factors studies. Assessment is continuous per module, plus the final integrative project.

Accreditable laboratories(EN ISO/IEC 17025) with a rotor test rig, EMC/Lightning pre-compliance, HIL/SIL, vibration/acoustics.
Evidence-oriented final project:safety case, test plan, compliance dossier and operational limits.
Industry mentoring:lecturers with industry experience in training, , eVTOL/UAM and flight test.
Flexible format(hybrid/online), international cohorts and support from SEIUM Career Services.
Ethics and safety:a safety-by-design approach, with OT cyber, IHL and compliance as its pillars.
Capstone project

Build it end to end

Your final project follows the real engineering workflow, step by step, reviewed by your tutor.

Selection of the AI function

Describe applications of AI in flight systems.

Definition of the operational domain

Apply EASA certification and assurance approaches for AI.

Assurance and certification plan

Analyse the effects of automation on the flight crew.

Human factors analysis

Assign responsibilities for failures of AI-based functions.

Safety risk analysis

Assess the safety of a flight function based on machine learning.

Career opportunities

Where this takes you

Aeronautical certification engineerEmbedded software engineerHuman factors specialistAvionics engineerAeronautical AI engineerSystems safety analyst
Admissions & scholarships

Requirements

  • No prior degree required.
  • Internet connection and a computer capable of running the programme's software.
  • Sufficient level of Spanish to follow technical regulatory reading.

Ready to start?

Send your application today. Our admissions team replies within 72 hours with your study plan and funding options.

Apply now Scholarships
FAQ

Frequently asked questions

The programme totals 300 hours, spread over 3 to 5 months. That is between 10 and 15 hours per week on average, compatible with a full-time job.

You will work with MATLAB/Simulink, SCADE Suite, X-Plane, Python (PyTorch). Free, academic or evaluation versions are used, and the tutor indicates the free alternative where one exists.

An SEIUM diploma upon passing the continuous assessment and the integrative project. It is in-house training, not an official qualification from the Ministry.

Yes. Modules passed in a course or postgraduate diploma in the same area are credited towards the advanced programme. Check the credit transfer policy when you enrol.

Keep exploring

Related programmes

See all in Defense, Military Engineering & Land Systems
Course610 $

Course in UAS Certification Standards

Online 300-hour course in UAS certification standards. 6 modules covering Implementing Regulation (EU) 2019/947 (UAS operations), Delegated Regulation (EU) 2019/945 (UAS systems) and MATLAB/Simulink. Assigned tutor…

300 hOnlineDefense, Military Engineering & Land Systems
Course720 $

Course in Ethics and Transparency in Military Vehicle Contracts

Online 300 h course in ethics and transparency in military vehicle contracts. 6 modules covering Directive 2009/81/EC (defence and security procurement), Law 24/2011 on public sector…

300 hOnlineDefense, Military Engineering & Land Systems
Course830 $

Course in Regulation in Critical Software Certification

Online 300-hour course in regulation in critical software certification. 6 modules covering DO-178C (software in airborne systems), IEC 61508-3 (functional safety: software requirements) and LDRA Testbed.…

300 hOnlineDefense, Military Engineering & Land Systems
Course in Ethics in Artificial Intelligence in Flight SystemsEnrol
Related programmes

More in Defense, Military Engineering & Land Systems

Course in Academic Documentation for Aeronautical CertificationView programme →Course on Composite Materials Standards for HelicoptersView programme →Course in Ethics of Machine Learning Use for SurveillanceView programme →Course in Accessible Design and Human Factors in Military CockpitsView programme →Course in Ethics in Cyber Defence Digital TwinsView programme →Course in Ethics in Big Data and National SecurityView programme →

All Defense, Military Engineering & Land Systems programmes → · How to apply · Fees & financing · Scholarships

Scroll to Top
SEIUM – Institute of Advanced Engineering
Powered by  GDPR Cookie Compliance
Privacy Overview

This website uses cookies so that we can provide you with the best user experience possible. Cookie information is stored in your browser and performs functions such as recognising you when you return to our website and helping our team to understand which sections of the website you find most interesting and useful.