Ethics
Ethical considerations provide a set of requirements for developers to prioritize safety, fairness, transparency, accountability in the development of automated driving vehicles with relation to its components such as Artificial Intelligence, communication, etc. Integrating these requirements into the design, decision-making processes and deployment strategies is essential for building public trust and ensuring responsible and beneficial deployment of this new technology. These considerations need to be mainly addressed by OEMs internally but also by concerned public and authorities of countries in which these automated driving vehicles are driving. Ethical considerations are also addressed in different standards. Aspects that the topic Ethics deals with are:
- Ethical Benefits of Automated Driving: Automated driving aims to improve safety, efficiency, and sustainability for all road users. It can provide fair and non-discriminatory mobility opportunities independent of social status.
- Unavoidable Dilemma Situations: Automated vehicles may face ethical dilemmas, like the "trolley problem", where they must prioritize the safety of occupants or pedestrians. Regulators developed frameworks to govern how automated systems handle these unavoidable situations.
- Accountability: Responsibility and liability for crashes must be clearly allocated across manufacturers, operators, and regulators. Transparency and explainability in AI systems are crucial for accountability and public trust.
- Public Information and Education: Comprehensive public information is needed to address concerns and increase acceptance of automated driving technologies.
- Data Protection: Automated vehicles collect large volumes of data that must be handled securely and in compliance with privacy regulations like GDPR. Practices like data anonymization are essential to protect individual privacy.
- Driver Education: As automated and human-driven vehicles coexist, educating drivers on the capabilities, limitations, and proper use of these systems is critical for safety. Driver training should cover emergency protocols, ethical considerations, and legal responsibilities.
- Ethics – Compliance with Laws and Traffic Rules
- Ethics – Adherence to Ethical Standards
- Ethics – Risk Assessment Compared to Human Driving
- Ethics – Driver Information and Education Materials
- Ethics – Consistent Consideration of ADF Benefits
- Ethics – Addressing Dilemma Scenarios in ADF Development
- Ethics – Manufacturer Documentation and Responsibility
- Ethics – Compliance with Data Protection Measures
- SOTIF – Limitations of the ADF
- SOTIF – Risks Relating to the Take Over Request
- — Cross-References after this —
- Simulation – Stakeholder Involvement in Simulation Approval
- AI – Safety Argumentation and Transparency in AI Decision-making
- AI – Fairness and Equity
- AI – Explainable AI (XAI) – Accuracy of Explanation
- AI – Consistency Property
- AI – Safety Argumentation and Transparency in AI Decision-Making
- Testing – Definition Safety Validation
- Testing – Test Concept Planning
- Testing – Test Concept Execution
- Testing – Safety of Tests
- Testing – National Regulations