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Building Symbiotic Artificial Intelligence: Reviewing the AI Act for a Human-Centred, Principle-Based Framework
16 references·0 citing·42 second hop
Building Symbiotic Artificial Intelligence: Reviewing the AI Act for a Human-Centred, Principle-Based Framework (2025)Building Symbiotic Artificial Intelligenc…Three pathways for standardisation and ethical disclosure by default under the European union artificial intelligence act (2024)Three pathways for standardis…The EU Artificial Intelligence Act (2024): Implications for healthcare (2024)The EU Artificial Intelligenc…Generative AI and deepfakes: a human rights approach to tackling harmful content (2024)Generative AI and deepfakes: …Trustworthy artificial intelligence and the European Union AI act: On the conflation of trustworthiness and acceptability of risk (2023)Trustworthy artificial intell…The European AI liability directives – Critique of a half-hearted approach and lessons for the future (2023)The European AI liability dir…Prohibited artificial intelligence practices in the proposed EU artificial intelligence act (AIA) (2023)Prohibited artificial intelli…Institutionalised distrust and human oversight of artificial intelligence: towards a democratic design of AI governance under the European Union AI Act (2023)Institutionalised distrust an…ChatGPT and the AI Act (2023)ChatGPT and the AI ActThe Deskilling of Domain Expertise in AI Development (2022)The Deskilling of Domain Expe…Humans in the GDPR and AIA governance of automated and algorithmic systems. Essential pre-requisites against abdicating responsibilities (2022)Humans in the GDPR and AIA go…Human-Centered AI (2022)Human-Centered AIThe PRISMA 2020 statement: an updated guideline for reporting systematic reviews (2021)The PRISMA 2020 statement: an…Conformity Assessments and Post-market Monitoring: A Guide to the Role of Auditing in the Proposed European AI Regulation (2021)Conformity Assessments and Po…Principled Artificial Intelligence: Mapping Consensus in Ethical and Rights-Based Approaches to Principles for AI (2020)Principled Artificial Intelli…Human-Centered Artificial Intelligence: Reliable, Safe & Trustworthy (2020)Human-Centered Artificial Int…Bridging the Gap Between Ethics and Practice (2020)Bridging the Gap Between Ethi…Ironies of automation (1983)A model for types and levels of human interaction with automation (2000)The use of maturity models/grids as a tool in assessing product development capability (2003)A Systematic Literature Review of User Trust in AI-Enabled Systems: An HCI Perspective (2022)The General Attitudes towards Artificial Intelligence Scale (GAAIS): Confirmatory Validation and Associations with Personality, Corporate Distrust, and General Trust (2022)Research in Organizational Behavior. 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(2009)Global prevalence and burden of depressive and anxiety disorders in 204 countries and territories in 2020 due to the COVID-19 pandemic (2021)PRISMA 2020 explanation and elaboration: updated guidance and exemplars for reporting systematic reviews (2021)PRISMA-S: an extension to the PRISMA Statement for Reporting Literature Searches in Systematic Reviews (2021)Nudge: improving decisions about health, wealth, and happiness (2008)Thinking, Fast and Slow (2011)The global landscape of AI ethics guidelines (2019)Auditing large language models: a three-layered approach (2023)Auditing of AI: Legal, Ethical and Technical Approaches (2023)Mapping the Ethics of Generative AI: A Comprehensive Scoping Review (2024)The consequences of modernity (1990)Advancing Manufacturing Through Artificial Intelligence: Current Landscape, Perspectives, Best Practices, Challenges, and Future Direction (2024)Managing the race to the moon: Global policy and governance in Artificial Intelligence regulation—A contemporary overview and an analysis of socioeconomic consequences (2024)Algorithm Aversion: People Erroneously Avoid Algorithms after Seeing Them Err (2014)The Black Box Society (2015)How the machine ‘thinks’: Understanding opacity in machine learning algorithms (2016)AI Governance: A Systematic Literature Review (2024)On the Quest for Effectiveness in Human Oversight: Interdisciplinary Perspectives (2024)Impact of EU Laws on AI Adoption in Smart Grids: A Review of Regulatory Barriers, Technological Challenges, and Stakeholder Benefits (2025)The Brussels Effect (2019)Demystifying the Draft EU Artificial Intelligence Act — Analysing the good, the bad, and the unclear elements of the proposed approach (2021)Advancing youth co-design of ethical guidelines for AI-powered digital mental health tools (2025)Balancing Innovation and Control: The European Union AI Act in an Era of Global Uncertainty (2025)Emotionally adaptive support: a narrative review of affective computing for mental health (2025)Artificial intelligence, systemic risks, and sustainability (2021)Responsible artificial intelligence governance: A review and research framework (2025)Six Human-Centered Artificial Intelligence Grand Challenges (2023)The Participatory Turn in AI Design: Theoretical Foundations and the Current State of Practice (2023)Navigating the ethical terrain of AI in education: A systematic review on framing responsible human-centered AI practices (2024)Typology of Risks of Generative Text-to-Image Models (2023)Big AI: Cloud infrastructure dependence and the industrialisation of artificial intelligence (2024)
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References

  • 2021The PRISMA 2020 statement: an updated guideline for reporting systematic reviews107,380 cited
  • 2020Human-Centered Artificial Intelligence: Reliable, Safe & Trustworthy1,724 cited
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  • 2020Principled Artificial Intelligence: Mapping Consensus in Ethical and Rights-Based Approaches to Principles for AI998 cited
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  • 2024Three pathways for standardisation and ethical disclosure by default under the European union artificial intelligence act112 cited
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Humans in the GDPR and AIA governance of automated and algorithmic systems. Essential pre-requisites against abdicating responsibilities
92 cited
  • 2023Prohibited artificial intelligence practices in the proposed EU artificial intelligence act (AIA)91 cited
  • 2022The Deskilling of Domain Expertise in AI Development85 cited
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