Course in Ethics in Swarm Algorithms
Online 300-hour course in ethics in swarm algorithms. 6 modules covering IEEE 7001-2021 (transparency of autonomous systems), IEEE 7000-2021 and ARGoS. Assigned tutor and open enrolment.
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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
Explain the principles of swarm intelligence.
Identify the specific ethical issues of swarm systems.
Analyse the applicable legal and governance framework.
Evaluate the verifiability and predictability of emergent behaviour.
Apply ethical design according to IEEE 7000.
Propose protective uses such as search and rescue or environmental monitoring.
Prepare an ethical assessment of a swarm system.
Who it's for
- Swarm robotics researcher who wants to specialise in Ethics in Swarm Algorithms.
- Multi-agent systems engineer who wants to specialise in Ethics in Swarm Algorithms.
- Technology ethics advisor who wants to specialise in Ethics in Swarm Algorithms.
- AI policy analyst who wants to specialise in Ethics in Swarm Algorithms.
- Verification engineer for autonomous systems who wants to specialise in Ethics in Swarm Algorithms.
- University lecturer in robotics who wants to specialise in Ethics in Swarm Algorithms.
- Engineering or science graduates seeking to join universities and research centres.
What you'll work with
- IEEE 7001-2021 (transparency of autonomous systems)
- IEEE 7000-2021
- Guiding Principles of the GGE of the CCW (2019)
- Additional Protocol I (1977), Article 36
- UNESCO Recommendation on the Ethics of AI (2021)
- ISO/IEC 22989
- Regulation (EU) 2024/1689 (AI Act)
6 modules · 300 h
1.1Biological origins: ants, bees and flocks1.2Reynolds' rules: separation, alignment and cohesion1.3Emergent behaviour and decentralisation1.4Distributed consensus algorithms1.5Particle swarm optimisation1.6Swarm robotics: academic research1.7Scalability and robustness of swarms1.8Civil applications: search, agriculture and entertainment1.9Defence programmes with drone swarms1.10Case study: simulation of flocking rules
2.1Unpredictability of emergent behaviour2.2Human control over hundreds of agents2.3One operator facing multiple vehicles2.4Attribution of responsibility in distributed systems2.5Escalation and saturation effect2.6Risk of proliferation due to low cost2.7Use by non-state actors2.8Distinction and precaution with multiple agents2.9Debate on weapons of mass destruction and swarms2.10Workshop: ethical risk map of a swarm
3.1International humanitarian law applied to swarms3.2Review of new weapons under Article 363.3CCW Group of Experts on autonomous systems3.4UN General Assembly resolutions3.5NATO principles for the responsible use of AI3.6Political declaration on the responsible military use of AI3.7Export control of swarm technology3.8Regulation of civil drones in the EU3.9Treaty proposals and national positions3.10Practice: comparative analysis of national positions
4.1Formal verification of multi-agent systems4.2Large-scale simulation and Monte Carlo4.3Metrics for behavioural predictability4.4Geographical and temporal operating limits4.5Interruption and deactivation mechanisms4.6Communication and link degradation4.7Cybersecurity of swarms4.8Explainability of collective decisions4.9Trials and operational evaluation4.10Laboratory: verification of safety properties of a swarm
5.1Value-sensitive design in multi-agent systems5.2Swarm supervision interfaces5.3Search and rescue uses5.4Swarms for fire detection and emergencies5.5Swarms for disaster response5.6University research and dual use5.7Ethics committees and responsible publication5.8Public participation and social dialogue5.9Codes of conduct for researchers5.10Case study: ethical opinion on a rescue swarm project
6.1Selection of the swarm system6.2Technical description and concept of use6.3Identification of stakeholders6.4Applicable legal analysis6.5Assessment of emerging risks6.6Control measures and human oversight6.7Governance recommendations6.8Monitoring plan6.9Report and presentation6.10Final review with the tutor
How you'll learn
100 % online training 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 the programme with work.
Each module combines theory, guided reading of the original standard and applied exercises. The working software is ARGoS, ROS 2, NetLogo, Python (Mesa), in free, academic or evaluation versions. Trials are studied using real emergent-behaviour simulation procedures, an ethical assessment workshop and analysis of civil use cases. Assessment is continuous by module plus the final integrative project.
Build it end to end
Your final project follows the real engineering workflow, step by step, reviewed by your tutor.
Explain the principles of swarm intelligence.
Identify the specific ethical issues of swarm systems.
Analyse the applicable legal and governance framework.
Evaluate the verifiability and predictability of emergent behaviour.
Apply ethical design according to IEEE 7000.
Where this takes you
Requirements
- No prior degree is required.
- Internet connection and a computer capable of running the programme's software.
- Sufficient level of Spanish to follow technical regulatory texts.
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, spread over 3 to 5 months. That is between 10 and 15 hours per week on average, compatible with a full-time job.
The programme uses ARGoS, ROS 2, NetLogo, Python (Mesa). Free, academic or evaluation versions are used, and the tutor indicates the open-source alternative where one exists.
An own-award diploma from SEIUM Institute upon passing the continuous assessment and the integrative project. This is in-house training, not an official Ministry qualification.
Yes. Modules passed in a course or postgraduate diploma in the same area can be credited towards the advanced programme. Check the credit transfer policy when you enrol.
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