---
title: Recommendation on the Ethics of Artificial Intelligence
authors:
  - Unknown Author
year: 2021
type: report
doi: 
url: "https://unesdoc.unesco.org/ark:/48223/pf0000380455"
tags:
  - paper
llm_decision: Include
llm_confidence: 0.85
llm_categories:
  - KI_Sonstige
  - Bias_Ungleichheit
  - Gender
  - Diversitaet
  - Fairness
human_decision: Include
human_categories:
  - AI_Literacies
  - KI_Sonstige
  - Soziale_Arbeit
  - Bias_Ungleichheit
  - Gender
  - Diversitaet
  - Fairness
agreement: agree
---

# Recommendation on the Ethics of Artificial Intelligence

## Transformation Trail

### Stufe 1: Extraktion & Klassifikation (LLM)

**Extrahierte Kategorien:** AI_Literacies, KI_Sonstige, Soziale_Arbeit, Bias_Ungleichheit, Gender, Diversitaet, Fairness
**Argumente:** 3 extrahiert

### Stufe 3: Verifikation (LLM)

| Metrik | Score |
|--------|-------|
| Completeness | 88 |
| Correctness | 92 |
| Category Validation | 85 |
| **Overall Confidence** | **88** |

### Stufe 4: Assessment

**LLM:** Include (Confidence: 0.85)
**Human:** Include

## Key Concepts

- [[Algorithmic Fairness and Equity]]

## Wissensdokument

# Recommendation on the ethics of artificial intelligence

## Kernbefund

UNESCO etabliert ein umfassendes, multikulturelles Ethical Framework für KI, das Menschenwürde, Menschenrechte, Fairness, Diversität und Umweltschutz als zentrale Leitwerte definiert und konkrete Policy-Maßnahmen für alle Lebensphasen von KI-Systemen vorsieht.

## Forschungsfrage

Welche ethischen Werte, Prinzipien und Policy-Maßnahmen sollten Staaten und Stakeholder implementieren, um KI-Systeme verantwortungsvoll zu entwickeln und einzusetzen und dabei Menschenrechte, Fairness und Inklusion zu gewährleisten?

## Methodik

Normativ-regulatorisch; internationale Standard-Setting durch multilaterale Konsultation; Rahmenwerk basierend auf internationalen Menschenrechtsgesetzen, ethischer Analyse und globalen Stakeholder-Perspektiven

## Hauptargumente

- KI-Systeme haben profunde positive und negative Auswirkungen auf Gesellschaften, Umwelt und Menschenleben; sie können bestehende Ungleichheiten und Diskriminierungen verstärken, was ein systematisches ethisches Governance-Framework erforderlich macht.
- Ein international akzeptiertes Ethical Framework für KI basierend auf Menschenrechtsgesetzen, Grundfreiheiten und kultureller Vielfalt kann Innovation und Entwicklung stimulieren, während gleichzeitig Schaden verhindert wird.
- Multi-Stakeholder-Partizipation über alle Phasen des AI-System-Lebenszyklus hinweg – einschließlich marginalisierter Gruppen, LMICs und indigener Völker – ist notwendig für inklusive Governance und faire Nutzung von KI-Vorteilen.

## Kategorie-Evidenz

### Evidenz 1

Recognizing that AI technologies can bring important benefits, but that achieving them can also amplify tension around innovation, asymmetric access to knowledge and technologies, including the digital and civic literacy deficit that limits the public's ability to engage in topics related to AI' (Preamble); 'Member States should enhance media and information literacy and access to independent, pluralistic, trusted sources of information'

### Evidenz 2

AI systems are information-processing technologies that integrate models and algorithms that produce a capacity to learn and to perform cognitive tasks including machine learning, deep learning, reinforcement learning, machine reasoning, planning, scheduling, knowledge representation and reasoning' (Section I); covers all stages of AI system life cycle from research, design, deployment, maintenance, operation, monitoring, evaluation

### Evidenz 3

Policy action addresses health and social well-being (Policy Area 11); emphasis on vulnerable people or people in vulnerable situations; children and youth; persons with disabilities; references to welfare systems, employment, and care for older persons

### Evidenz 4

AI technologies can deepen existing divides and inequalities in the world, within and between countries... potential resulting discrimination, inequality, digital divides, exclusion and a threat to cultural, social and biological diversity'; 'LMICs, including but not limited to LDCs, LLDCs and SIDS... have been underrepresented in the AI ethics debate'; emphasis on ensuring fair access and protection against negative implications

### Evidenz 5

Convention on the Elimination of All Forms of Discrimination against Women (1979) cited as foundational instrument; explicit mention of 'gender equality' as key principle in preamble and throughout; Policy Area on Human Rights includes gender equality as protected dimension

### Evidenz 6

Multicultural and evolving framework of interdependent values, principles and actions'; 'cultural diversity, diversity of cultures and ethical systems'; 'marginalized groups, communities and individuals'; 'indigenous peoples, respect for the self-governance of their data'; emphasis on representation of LMICs, LDCs in governance; social, cultural and gender diversity in monitoring processes

### Evidenz 7

Justice, trust and fairness must be upheld so that no country and no one should be left behind'; global fairness to deal with positive and negative impacts'; fair access to AI technologies; 'Member States should prevent the resulting inequalities... promote competitive markets'; ensuring 'fair transition for at-risk employees'; emphasis on equitable benefit-sharing and protection mechanisms

## Assessment-Relevanz

**Domain Fit:** Hochrelevant für die Schnittstelle KI/Soziale Arbeit/Gender Studies: Das Dokument positioniert Menschenrechte, Inklusion von marginalisierten Gruppen und Geschlechtergleichstellung als zentrale Leitwerte bei KI-Governance und adressiert explizit vulnerable Populationen und Care-Kontexte.

**Unique Contribution:** Establishes the first major international normative framework for AI ethics adopted by UNESCO Member States, embedding human rights, gender equality, and global fairness as foundational principles and providing concrete policy guidance across all AI system life cycle stages with particular attention to LMICs and marginalized communities.

**Limitations:** Dokument ist eine normative Empfehlung ohne Durchsetzungsmechanismen; freiwillige Umsetzung durch Staaten; begrenzte empirische Datengrundlage; konkrete Operationalisierung von Prinzipien wie 'cultural diversity' und intersektionaler Gerechtigkeit bleibt teilweise unterspecifiziert; feministische theoretische Tiefe nicht vorhanden

**Target Group:** Policymaker und Regierungsvertreter; KI-Entwickler und Tech-Industrie; Wissenschaftler und Akademiker; Menschenrechtsorganisationen und Gleichstellungsinstitutionen; Sozialarbeiter und Care-Professionelle; Zivilgesellschaft und NGOs; UNESCO-Member States; Internationale Organisationen

## Schlüsselreferenzen

- [[United_Nations_1948]] - Universal Declaration of Human Rights
- [[United_Nations_1979]] - Convention on the Elimination of All Forms of Discrimination against Women
- [[United_Nations_2006]] - Convention on the Rights of Persons with Disabilities
- [[United_Nations_2007]] - United Nations Declaration on the Rights of Indigenous Peoples
- [[United_Nations_2015]] - 2030 Agenda for Sustainable Development
- [[UNESCO_2005]] - Convention on the Protection and Promotion of the Diversity of Cultural Expressions
- [[UNESCO_2017]] - Recommendation on Science and Scientific Researchers
- [[United_Nations_Human_Rights_Council_2019]] - Resolution on New and emerging digital technologies and human rights
