Ethics course in aerospace AI
Online course of 300 hours in ethics of aerospace AI, structured in 6 modules covering AI ethics, autonomy and human control, safety, bias and fairness, defence, dual use and space, and governance and regulation, with an assigned technical tutor.
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.
What you will be able to do
Understand the ethical principles that apply to artificial intelligence.
Analyse autonomy and human control in aerospace systems.
Identify bias and risks to fundamental rights.
Reflect on AI in defence and dual use from a normative perspective.
Apply the European AI Act and ISO/IEC 42001.
Use ethical assessment tools such as ALTAI.
Develop an ethical governance framework for an AI system.
Who it's for
- AI ethics specialists focusing on aviation and space.
- AI governance managers.
- Human factors engineers.
- Regulatory compliance consultants.
- Technology risk analysts.
- Responsible innovation managers.
- Engineering or science graduates aiming to work for aircraft manufacturers.
What you'll work with
- Regulation (EU) 2024/1689 (EU Artificial Intelligence Act)
- ISO/IEC 42001:2023 (AI management systems)
- EASA Artificial Intelligence Concept Paper Issue 2 (guidance for machine learning applications in aviation)
- UNESCO Recommendation on the Ethics of AI 2021 (global ethical framework for AI)
- European Commission Ethics Guidelines for Trustworthy AI 2019 (requirements for trustworthy AI)
- Regulation (EU) 2016/679 (General Data Protection Regulation)
- ISO/IEC 23894:2023 (AI risk management)
- OECD AI Principles (intergovernmental principles for trustworthy AI)
- European Commission ALTAI
- Fairlearn
- AI Fairness 360
- Miro
6 modules
1.1Ethical principles of AI1.2EU guidelines for trustworthy AI1.3The UNESCO Recommendation1.4Autonomy, beneficence and justice1.5Moral and causal responsibility1.6Transparency and accountability1.7Algorithmic bias1.8Privacy and surveillance1.9Particular features of the aerospace sector1.10Case study: ethical analysis of a pilot support system
2.1Levels of automation2.2Ironies of automation2.3Meaningful human oversight2.4Pilots and reduced-crew operations2.5Autonomous drones and accountability2.6Calibrated trust2.7Skill degradation2.8Allocation of authority2.9Human-centred design2.10Workshop: debate on single-pilot operations
3.1AI and operational safety3.2Bias in training data3.3Fairness in pilot selection systems3.4Facial recognition at airports3.5Passenger profiling3.6Explainability and the right to an explanation3.7Algorithmic auditing3.8Fundamental rights impact assessment3.9AI incident management3.10Practical exercise: bias audit of a model
4.1The debate on autonomous weapon systems4.2Convention on Certain Conventional Weapons4.3Principles for the responsible use of AI in defence4.4Human control in defence systems4.5Dual use of aerospace algorithms4.6AI in satellite surveillance4.7Privacy in Earth observation4.8Autonomy in space exploration4.9International responsibility4.10Case study: analysis of responsible AI principles
5.1The European AI Act and risk levels5.2Obligations of providers and deployers5.3EASA guidance and ethical considerations5.4ISO/IEC 42001 AI management systems5.5Corporate ethics committees5.6Ethical assessment across the lifecycle5.7Documentation and transparency5.8Energy sustainability of AI5.9Communication with society5.10Workshop: ethical assessment with the ALTAI list
6.1Selection of the AI system6.2Stakeholder map6.3Identification of ethical risks6.4Assessment with ALTAI6.5Regulatory analysis6.6Mitigation measures6.7Governance model6.8Communication plan6.9Report and presentation6.10Final project: final review with the tutor
How you'll learn
The programme is 100% online on the SEIUM campus, with downloadable material, recorded classes and an assigned technical tutor. There are no fixed timetables: you progress at your own pace within each intake, so you can combine it with your job.
Each module combines theory, guided reading of the original standard and applied exercises. The working tools are the European Commission's ALTAI, Fairlearn, AI Fairness 360 and Miro, in free, academic or evaluation versions. Exercises are based on real procedures: ethical assessment of a cockpit assistant, bias audit of a passenger screening system and governance analysis of an autonomous drone project. Assessment is continuous by module plus the final project.
Standards covered: Regulation (EU) 2024/1689, ISO/IEC 42001:2023, EASA Artificial Intelligence Concept Paper Issue 2, UNESCO Recommendation on the Ethics of AI 2021, European Commission Ethics Guidelines for Trustworthy AI 2019, Regulation (EU) 2016/679, ISO/IEC 23894:2023, OECD AI Principles.
Build it end to end
Your final project follows the real engineering workflow, step by step, reviewed by your tutor.
Where this takes you
Requirements
- No prior qualification is required.
- An internet connection and a computer capable of running the programme software.
- English sufficient to read technical standards.
Ready to start?
Send your application today. Our admissions team replies within 72 hours with your study plan and funding options.
Frequently asked questions
The programme totals 300 hours over 3 months. You set your own pace within each intake, and your tutor helps you plan the workload around your job.
You work with European Commission ALTAI, Fairlearn, AI Fairness 360, Miro, using free, academic or evaluation versions. Your tutor indicates the free alternative wherever one exists.
A SEIUM Institute certificate, awarded on passing the continuous assessment and the final project. It is SEIUM's own qualification, not an official state degree; its recognition depends on the programme completed and the regulations of each country.
Yes. Modules passed are recognised in a higher programme in the same area (postgraduate diploma or master's). Ask about the recognition policy when you enrol.
No prior qualification is required; you need an internet connection, a computer capable of running the programme software and English sufficient to read technical standards.
Start dates are set by SEIUM's faculty for each intake. Our admissions team will confirm the next available date when you apply.
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