Course in Assessing Civil Liability in Autonomous Driving
Online 300-hour course in assessing civil liability in autonomous driving. 6 modules covering Directive (EU) 2024/2853 (liability for defective products), Real Decreto Legislativo 8/2004 (civil liability and vehicle insurance) and PC-Crash. Assigned tutor and open enrolment.
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What you will be able to do
Analyse how the attribution of liability changes with automated driving.
Interpret the regulatory framework for type approval and product liability.
Use vehicle data and event data recorder information as evidence.
Apply compulsory insurance and recovery actions against the manufacturer.
Evaluate the ethical dilemmas in the decisions of automated systems.
Manage change in civil liability claims processes.
Develop an integrative project on a liability case.
Who it's for
- Civil liability and automotive lawyer who wishes to specialise in Civil Liability Assessment in Autonomous Driving.
- Accident reconstruction expert who wishes to specialise in Civil Liability Assessment in Autonomous Driving.
- Civil liability claims handler who wishes to specialise in Civil Liability Assessment in Autonomous Driving.
- Manufacturer recovery manager who wishes to specialise in Civil Liability Assessment in Autonomous Driving.
- Automated vehicle regulation analyst who wishes to specialise in Civil Liability Assessment in Autonomous Driving.
- Technology ethics consultant who wishes to specialise in Civil Liability Assessment in Autonomous Driving.
- Engineering or science graduates seeking to enter the motor insurance sector.
What you'll work with
- Directive (EU) 2024/2853 (liability for defective products)
- Real Decreto Legislativo 8/2004 (civil liability and vehicle insurance)
- Directive 2009/103/EC (motor vehicle insurance)
- Regulation (EU) 2019/2144 (general vehicle safety)
- UNECE Regulation No. 157 (ALKS)
- Regulation (EU) 2024/1689 (AI Act)
- Real Decreto Legislativo 1/2007 (General Law for the Defence of Consumers)
6 modules · 300 h
1.1Levels of automation and their legal effect1.2Driver, operator and manufacturer1.3Transfer of control and grey areas1.4Operational design domain1.5Strict liability of the keeper1.6Liability for defective products1.7Sector vocabulary and acronyms1.8Known cases and litigation1.9Differences between jurisdictions1.10Exercise: attributing liability in a case study
2.1Compulsory insurance and its current scope2.2Type approval of automated systems2.3Data recorder requirements2.4Product liability directive2.5Applicable artificial intelligence regulation2.6Information obligations to the user2.7Test and service authorisations2.8Cyber security and update regulation2.9Expected evolution of the framework2.10Practice: regulatory map of a deployment
3.1Data recorded by the vehicle3.2Access for the insurer and the injured party3.3Format and validity of data3.4Accident reconstruction3.5Determination of driving mode3.6Specialist technical expert evidence3.7Burden of proof and its allocation3.8Preservation of evidence3.9Cooperation from the manufacturer3.10Practice: analysis of claim data
4.1Coverage of compulsory insurance4.2Voluntary coverage and its gaps4.3Recovery against the manufacturer4.4Agreements between insurers and manufacturers4.5Effect on premiums and claims frequency4.6Guarantee funds and their role4.7Management of third-party claims4.8Litigation and its cost4.9Reinsurance of this exposure4.10Practice: recovery strategy for a case
5.1User expectations and training5.2Honest communication of capabilities5.3Risk of excessive trust in the system5.4System decision dilemmas5.5Algorithmic transparency5.6Social acceptance of deployment5.7Professional responsibility of the engineer5.8Collaboration with the regulator5.9In-service safety monitoring5.10Practice: ethical analysis of a deployment
6.1Choice of case and level of automation6.2Map of responsibilities6.3Applicable regulatory analysis6.4Plan for obtaining and analysing evidence6.5Insurance and recovery strategy6.6Ethical analysis of the deployment6.7Proposal for improving the framework6.8Monitoring indicators6.9Analysis report6.10Defence of the work
How you'll learn
100% online training on the SEIUM campus, with downloadable material, recorded classes and an assigned technical tutor. 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 PC-Crash, CARLA, MATLAB/Simulink, Python (pandas), in free, academic or evaluation versions. Practicals are based on real accident reconstruction procedures using data recorders, analysis of manufacturer liability cases, and simulation of automated driving scenarios. Assessment is continuous, module 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.
Analyse how the attribution of liability changes with automated driving.
Interpret the regulatory framework for type approval and product liability.
Use vehicle data and event data recorder information as evidence.
Apply compulsory insurance and recovery actions against the manufacturer.
Evaluate the ethical dilemmas in the decisions of automated systems.
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 comprises 300 hours in total, 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 PC-Crash, CARLA, MATLAB/Simulink, Python (pandas). Free, academic or evaluation versions are used, and the tutor indicates the free alternative where one exists.
A SEIUM own diploma upon passing the continuous assessment and the integrative project. It is in-house training, not an official Ministry qualification.
Yes. Modules passed in a course or postgraduate diploma in the same area are recognised in the advanced programme. Please check the recognition policy when you enrol.
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