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CourseNuclear Engineering & Nuclear Fuel Cycle Technologies Applications open

Course on Ethics in Nuclear Automation

Online course of 300 h in Ethics in Nuclear Automation. 6 modules covering Regulation (EU) 2024/1689 (Artificial Intelligence Act), IEC 61513 (I&C systems important to safety) and NVivo. Dedicated tutor and enrolment open.

Duration300 h
ModeOnline
Start datesSet by the faculty
AwardSEIUM Institute certificate
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Learning outcomes

What you will be able to do

01

Apply ethical frameworks to the nuclear sector.

02

Describe the degree of automation in nuclear plants.

03

Analyse the role of the human factor alongside automatic systems.

04

Evaluate the ethical risks of using AI in operations.

05

Define governance schemes and the allocation of responsibility.

06

Relate regulatory requirements to ethical principles.

07

Produce an ethical assessment of an automation project.

Profile

Who it's for

  • Technology ethics specialist looking to specialise in Ethics in Nuclear Automation.
  • Human factors engineer looking to specialise in Ethics in Nuclear Automation.
  • AI governance manager looking to specialise in Ethics in Nuclear Automation.
  • Nuclear automation engineer looking to specialise in Ethics in Nuclear Automation.
  • Nuclear safety policy analyst looking to specialise in Ethics in Nuclear Automation.
  • Regulatory compliance consultant looking to specialise in Ethics in Nuclear Automation.
  • Engineering or science graduates looking to move into nuclear power plants.
Standards & tools

What you'll work with

  • Regulation (EU) 2024/1689 (Artificial Intelligence Act)
  • IEC 61513 (I&C systems important to safety)
  • IEC 60964 (control room design)
  • IAEA GSR Part 2 (leadership and management for safety)
  • IAEA SSG-51 (human factors in design)
  • ISO/IEC 42001 (AI management systems)
  • NUREG-0711 (human factors engineering programme)
Syllabus

6 modules · 300 h

  1. 1.1Technology ethics and the precautionary principle
  2. 1.2Nuclear safety culture according to INSAG-4
  3. 1.3Responsibility of the operator and the regulator
  4. 1.4The ALARA principle and dose justification
  5. 1.5Intergenerational equity and waste
  6. 1.6Public trust and transparency
  7. 1.7Engineering codes of ethics
  8. 1.8Ethical dilemmas after Chernobyl and Fukushima
  9. 1.9The IAEA SF-1 safety principles framework
  10. 1.10Workshop: ethical analysis of an operational incident
  1. 2.1Digital instrumentation and control systems
  2. 2.2Reactor protection systems
  3. 2.3Levels of automation and supervisory control
  4. 2.4IEC 61513 and IEC 60880 standards
  5. 2.5IEC 61226 safety classification
  6. 2.6Cybersecurity according to IEC 62645
  7. 2.7Safety software and verification
  8. 2.8Software common-cause failure modes
  9. 2.9Defence in depth and diversity
  10. 2.10Case study: digital modernisation of a control room
  1. 3.1Human-machine allocation of functions
  2. 3.2Bainbridge's ironies of automation
  3. 3.3Loss of situational awareness
  4. 3.4Operator overconfidence and complacency
  5. 3.5The Three Mile Island accident and interface design
  6. 3.6NUREG-0711 on human factors engineering
  7. 3.7Meaningful human control
  8. 3.8Training and maintaining competences
  9. 3.9Workload and fatigue
  10. 3.10Case study: operator decision-making with multiple alarms
  1. 4.1Machine learning in diagnostics
  2. 4.2AI-based predictive maintenance
  3. 4.3Explainability and interpretability
  4. 4.4Biases in operational data
  5. 4.5Validating models in safety systems
  6. 4.6NRC and ONR positions on AI
  7. 4.7The EU AI Act and high-risk systems
  8. 4.8ISO/IEC 42001 in AI management
  9. 4.9Accountability for algorithmic failures
  10. 4.10Workshop: ethical impact assessment of a predictive model
  1. 5.1Legal liability for automated decisions
  2. 5.2The Paris and Vienna liability conventions
  3. 5.3Licensing of automated systems
  4. 5.4Public participation in decision-making
  5. 5.5Robotics in decommissioning and employment
  6. 5.6Whistleblowing and reporting culture
  7. 5.7The ethics of nuclear cybersecurity
  8. 5.8Ethics committees and independent review
  9. 5.9International comparison of approaches
  10. 5.10Case study: the dilemma of deploying an autonomous robot
  1. 6.1Selecting the automated system
  2. 6.2Stakeholder identification
  3. 6.3Ethical risk map
  4. 6.4Analysis of accountability and human control
  5. 6.5Transparency assessment
  6. 6.6Applicable regulatory requirements
  7. 6.7Proposed mitigation measures
  8. 6.8Monitoring and audit plan
  9. 6.9Report and presentation
  10. 6.10Final review with the tutor
Methodology, software & labs

How you'll learn

100% online training on the SEIUM campus, with downloadable materials, recorded classes and a dedicated technical tutor. No fixed timetable: students progress at their own pace within the intake period, making it easy to combine with work.

Each module combines theory, guided reading of the original standards and applied exercises. The software used is NVivo, Excel avanzado, Miro, Python (SHAP), in free, academic or trial versions. Testing is studied through real procedures from analysis of automation cases in control rooms, ethical assessment workshops, responsibility matrices and risks. Assessment is continuous for each module, plus a final capstone project.

Accredited laboratories(EN ISO/IEC 17025) with rotor rig, EMC/Lightning pre-compliance, HIL/SIL, vibration/acoustics.
Evidence-driven Master's Thesis:safety case, test plan, compliance dossier and operational limits.
Industry-led mentoring:faculty with a track record in training, , eVTOL/UAM and flight test.
Flexible format(hybrid/online), international cohorts and support from SEIUM Career Services.
Ethics and safety:safety-by-design approach, OT cyber, DIH and compliance as core pillars.
Capstone project

Build it end to end

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

Selecting the automated system

Apply ethical frameworks to the nuclear sector.

Stakeholder identification

Describe the degree of automation in nuclear plants.

Ethical risk map

Analyse the role of the human factor alongside automatic systems.

Analysis of accountability and human control

Evaluate the ethical risks of using AI in operations.

Transparency assessment

Define governance schemes and the allocation of responsibility.

Career opportunities

Where this takes you

Technology ethics specialistHuman factors engineerAI governance managerNuclear automation engineerNuclear safety policy analystRegulatory compliance consultant
Admissions & scholarships

Requirements

  • No previous qualification is required.
  • An internet connection and a computer able to run the programme software.
  • A level of 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.

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FAQ

Frequently asked questions

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

You will work with NVivo, Advanced Excel, Miro, Python (SHAP). Free, academic or trial versions are used, and your tutor will point out a free alternative where one exists.

A SEIUM Institute diploma, awarded on passing the continuous assessment and the capstone project. It is SEIUM's own qualification, not an official state-accredited degree.

Yes. Modules passed in a course or postgraduate diploma in the same area are recognised in the higher programme. Check the recognition policy when you enrol.

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