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 :



Optimizing LLM test-time compute involves solving a meta-RL problem

  20 Jan 2025
By altering the LLM training objective, we can reuse existing data along with more test-time compute to train models to do better.

Generating a biomedical knowledge graph question answering dataset

  17 Jan 2025
Introducing PrimeKGQA - a scalable approach to dataset generation, harnessing the power of large language models.

The Machine Ethics podcast: 2024 in review with Karin Rudolph and Ben Byford

Karin Rudolph and Ben Byford talk about 2024 touching on the EU AI Act, agent-based AI and advertising, AI search and access to information, conflicting goals of many AI agents, and much more.

Playbook released with guidance on creating images of AI

  15 Jan 2025
Archival Images of AI project enables the creation of meaningful and compelling images of AI.

The Good Robot podcast: Lithium extraction in the Atacama with Sebastián Lehuedé

  13 Jan 2025
Eleanor and Kerry chat to Sebastián Lehuedé about data activism, the effects of lithium extraction, and the importance of reflexive research ethics.

Interview with Erica Kimei: Using ML for studying greenhouse gas emissions from livestock

  10 Jan 2025
Find out about work that brings together agriculture, environmental science, and advanced data analytics.

TELL: Explaining neural networks using logic

  09 Jan 2025
Alessio and colleagues have developed a neural network that can be directly transformed into logic.




AIhub is supported by:






©2024 - Association for the Understanding of Artificial Intelligence


 












©2021 - ROBOTS Association