# Catalog of General Ethical Requirements for AI Certification

arXiv: https://arxiv.org/abs/2408.12289 · HTML: https://mlsanity.com/paper/2408.12289/

## Key facts

- Cited by 1 papers in the map (data through 14 Oct 2026).
- First posted on arXiv 22 Aug 2024.

## Built on by (most cited first, 1 of 1)

- [Technology as uncharted territory: Contextual integrity and the notion of AI as new ethical ground](https://mlsanity.com/paper/2412.05130/) (2024)

## Abstract (arXiv)

This whitepaper offers normative and practical guidance for developers of artificial intelligence (AI) systems to achieve "Trustworthy AI". In it, we present overall ethical requirements and six ethical principles with value-specific recommendations for tools to implement these principles into technology. Our value-specific recommendations address the principles of fairness, privacy and data protection, safety and robustness, sustainability, transparency and explainability and truthfulness. For each principle, we also present examples of criteria for risk assessment and categorization of AI systems and applications in line with the categories of the European Union (EU) AI Act. Our work is aimed at stakeholders who can take it as a potential blueprint to fulfill minimum ethical requirements for trustworthy AI and AI Certification.