SHERPA Final Recommendations

From The Embassy of Good Science
Guidelines

SHERPA Final Recommendations

Related Initiative

What is this about?

The SHERPA Final Recommendations provide a comprehensive framework for addressing the ethical and human rights implications of Artificial Intelligence (AI) and smart information systems in Europe. Viewing AI as a set of interconnected ecosystems involving technologies, stakeholders, and governance structures, the recommendations aim to ensure that AI development promotes human flourishing. They are organized into three domains: Concepts, Knowledge, and Governance.

First, SHERPA stresses the need for clear and appropriate definitions of AI to better identify ethically relevant issues. Second, it calls for a strong and sustainable knowledge base through AI impact assessments, ethics-by-design approaches, education and training pathways, inclusion of ethics in standardization, and security analysis of AI systems. Third, the recommendations propose robust governance mechanisms, including a mandatory EU regulatory framework, the establishment of an independent European Union Agency for AI, and the creation of AI Ethics Officers within organizations. Together, these measures aim to ensure trustworthy, rights-respecting, and socially beneficial AI systems.

Why is this important?

The SHERPA Final Recommendations are important because they move beyond abstract ethical principles and offer concrete, actionable guidance for shaping AI in a way that protects fundamental rights and societal values. As AI systems increasingly influence decision-making in areas such as healthcare, employment, security, and governance, unmanaged ethical risks such as discrimination, lack of transparency, and power imbalances can undermine trust and social cohesion. By promoting clear concepts, shared knowledge, and effective governance, the recommendations help align technological innovation with European values, including human dignity, democracy, and the rule of law. They also support policy coherence across EU Member States, reduce regulatory fragmentation, and provide practical tools for policymakers, researchers, and organizations to implement responsible and trustworthy AI.

For whom is this important?

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