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High-Level Expert Group on Artificial Intelligence (AI HLEG) - Ethics Guidelines for Trustworthy AI

Nov 03, 2021

Summary

European Commission.
https://ec.europa.eu/futurium/en/ai-alliance-consultation/guidelines#Top
(AI HLEG, 2019)
four ethical principles, rooted in fundamental rights, which must be respected in order to ensure that AI systems are developed, deployed and used in a trustworthy manner. They are specified as ethical imperatives, such that AI practitioners should always strive to adhere to them. These are the principles of:
(i) Respect for human autonomy
(ii) Prevention of harm
(iii) Fairness
(iv) Explicability
The principles outlined in Chapter I must be translated into concrete requirements to achieve Trustworthy AI. The below list of requirements is non-exhaustive.35 It includes systemic, individual and societal aspects:
1 Human agency and oversight - Including fundamental rights, human agency and human oversight
2 Technical robustness and safety - Including resilience to attack and security, fall back plan and general safety, accuracy, reliability and reproducibility
3 Privacy and data governance - Including respect for privacy, quality and integrity of data, and access to data
4 Transparency - Including traceability, explainability and communication
5 Diversity, non-discrimination and fairness - Including the avoidance of unfair bias, accessibility and universal design, and stakeholder participation
6 Societal and environmental wellbeing - Including sustainability and environmental friendliness, social impact, society and democracy
7 Accountability - Including auditability, minimisation and reporting of negative impact, trade-offs and redress.

Content

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