ΑΙhub.org
 

Ethics of connected and automated vehicles: a European Commission expert group report


by
02 October 2020



share this:
AIhub | EU flag

On 18 September the European Commission published a report on the Ethics of Connected and Automated Vehicles (CAVs). Written by an independent group of experts, the report includes twenty recommendations on road safety, privacy, fairness, AI explainability and responsibility, for the development and deployment of connected and automated vehicles.

The recommendations have been made actionable for three stakeholder groups:
1. Manufacturers and deployers (e.g. car manufacturers, suppliers, software developers and mobility service providers);
2. Policymakers (persons working at national, European and international agencies and institutions such as the European Commission and the EU National Ministries)
3. Researchers (e.g. persons working at universities, research institutes and R&D departments).

The aim of the report is to “promote a safe and responsible transition to connected and automated vehicles (CAVs) by supporting stakeholders in the systematic inclusion of ethical considerations in the development and regulation of CAVs”.

The report recognises the potential of CAV technology to deliver benefits, such as reduced fatalities and emissions, but also recognises that technological progress alone is not sufficient to realise this potential. In order to deliver the desired results, the future vision for CAVs should incorporate a broader set of ethical, legal and societal considerations into the development, deployment and use of CAVs.

The 20 ethical recommendations are as follows:

  1. Ensure that CAVs reduce physical harm to persons.
  2. Prevent unsafe use by inherently safe design.
  3. Define clear standards for responsible open road testing.
  4. Consider revision of traffic rules to promote safety of CAVs and investigate exceptions to non-compliance with existing rules by CAVs.
  5. Redress inequalities in vulnerability among road users.
  6. Manage dilemmas by principles of risk distribution and shared ethical principles.
  7. Safeguard informational privacy and informed consent.
  8. Enable user choice, seek informed consent options and develop related best practice industry standards.
  9. Develop measures to foster protection of individuals at group level.
  10. Develop transparency strategies to inform users and pedestrians about data collection and associated rights.
  11. Prevent discriminatory differential service provision.
  12. Audit CAV algorithms.
  13. Identify and protect CAV relevant high-value datasets as public and open infrastructural resources.
  14. Reduce opacity in algorithmic decisions.
  15. Promote data, algorithmic, AI literacy and public participation.
  16. Identify the obligations of different agents involved in CAVs.
  17. Promote a culture of responsibility with respect to the obligations associated with CAVs.
  18. Ensure accountability for the behaviour of CAVs (duty to explain).
  19. Promote a fair system for the attribution of moral and legal culpability for the behaviour of CAVs.
  20. Create fair and effective mechanisms for granting compensation to victims of crashes or other accidents involving CAVs.

All of these points are considered in detail in the report and are accompanied by suggested actions for each of the stakeholder groups.

Read the report in full to find out more

Ethics of connected and automated vehicles – report
Ethics of connected and automated vehicles – factsheet
Ethics of connected and automated vehicles – infographic




Lucy Smith is Senior Managing Editor for AIhub.
Lucy Smith is Senior Managing Editor for AIhub.




            AIhub is supported by:


Related posts :



Everything you say to an Alexa speaker will now be sent to Amazon

  04 Apr 2025
This change was implemented on 28 March 2025.

End-to-end data-driven weather prediction

  04 Apr 2025
A new AI weather prediction system, developed by a team of researchers, can deliver accurate forecasts.

Interview with Joseph Marvin Imperial: aligning generative AI with technical standards

  02 Apr 2025
Joseph tells us about his PhD research so far and his experience at the AAAI 2025 Doctoral Consortium.

Forthcoming machine learning and AI seminars: April 2025 edition

  01 Apr 2025
A list of free-to-attend AI-related seminars that are scheduled to take place between 1 April and 31 May 2025.

AI can be a powerful tool for scientists. But it can also fuel research misconduct

  31 Mar 2025
While AI is allowing scientists to make technological breakthroughs, there’s also a darker side to the use of AI in science: scientific misconduct is on the rise.
monthly digest

AIhub monthly digest: March 2025 – human-allied AI, differential privacy, and social media microtargeting

  28 Mar 2025
Welcome to our monthly digest, where you can catch up with AI research, events and news from the month past.

AI ring tracks spelled words in American Sign Language

  27 Mar 2025
In its current form, SpellRing could be used to enter text into computers or smartphones via fingerspelling.

How AI images are ‘flattening’ Indigenous cultures – creating a new form of tech colonialism

  26 Mar 2025
AI-generated stock images that claim to depict “Indigenous Australians”, don’t resemble Aboriginal and Torres Strait Islander peoples.




AIhub is supported by:






©2024 - Association for the Understanding of Artificial Intelligence


 












©2021 - ROBOTS Association