Principled Artificial Intelligence: Mapping Consensus in Ethical and Rights-Based Approaches to Principles for AI

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Items 701–800 of 996

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8. A Comprehensive Framework Proposal to Design Symbiotic AI Systems
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9. Artificial Intelligence and Religious Freedom
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10. Artificial Intelligence and the Right to Liberty and Security
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11. Artificial Intelligence and Human Rights
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12. Artificial Intelligence and Consumer Protection Rights
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13. Smart Cities, Artificial Intelligence, and Public Law
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14. Navigating the Interplay Between Digital Innovation and Ethical AI for the Development of Smart Societies: A Comprehensive Literature Review
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16. From Consultation to Collaboration
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19. From Fragmentation to Focus: How AI Can Assist Researchers in Academic Writing
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20. Global AI regulation and its impact on technology business: A comparative legal framework analysis
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21. Trustworthiness Evaluation of Large Language Models
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22. A validation study of frameworks for responsible automatically processable regulation
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23. Ethical Considerations of Extended Reality in the Workplace
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24. Design and validation of a responsible artificial intelligence-based system for the referral of diabetic retinopathy patients
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25. Generative Artificial Intelligence in Healthcare: Systems Governance, Safety, and Accountability
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27. 18. Information ethics as a theoretical foundation for ethical assessment and moral design of AI systems
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28. EthicAmanuensis: supporting machine learning practitioners making and recording ethical decisions
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29. Artificial Intelligence and Gender-Based Discrimination
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30. Should Social and Assistive Robots Integrated within Home- and Healthcare Services Be Universally Designed?
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31. AHRC Design Fellows Challenges of the Future:AI & Data
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32. Multi Scale Ethics – Why we need a sociological approach to the ethics of AI in healthcare at different scales.
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33. A proposal to improve research in AI algorithm and data governance
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34. Normative Challenges of Risk Regulation of Artificial Intelligence and Automated Decision-Making
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35. Human-centered trust framework: An HCI perspective
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36. Roboethics principles and policies in Europe and North America
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37. Mapping AI Ethics: A Quantitative Analysis of the Plurality, and Lack Thereof, of Discourses
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38. Managing Digital Risks: A Primer
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39. Is that a Guideline? Addressing Learning in Ethics Guidelines Through a PRISMA-ETHICS informed Scoping Review of Guidelines
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40. Multiculturalism and AI Value Alignment
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41. Análisis comparado de los distintos enfoques regulatorios de la inteligencia artificial en la Unión Europea, EE. UU., China e Iberoamérica
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42. Outlining Traceability: A Principle for Operationalizing Accountability in Computing Systems
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43. "A cold, technical decision-maker": Can AI provide explainability, negotiability, and humanity?
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44. A conversation on AI activism
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45. Compliance inteligente nas contratações públicas: defesa efetiva da concorrência
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46. Writing Futures Framework
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52. Justicia de datos
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53. Should machines be allowed to ‘read our minds’? Uses and regulation of biometric techniques that attempt to infer mental states
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54. Uma proposta para impulsionar as pesquisas em governança de algoritmos de IA e dados
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55. A Study on the Ethical Approach of Artificial Intelligence for Military Purposes in a Naval Mosaic Warfare
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56. Defending Environmental Competence: A Moral Principle for Data Use
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57. From Principled to Applied AI Ethics in Organizations: A Scoping Review
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58. Bibliographie
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59. Trustworthy Autonomous Systems and Disabled Young People: A Critical Literature Review
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60. Empowering the Battle Against COVID-19: Exploring the Impact of Artificial Intelligence Solutions
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62. Roboethics principles and policies in Europe and North America
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63. Introduction
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64. Drawing Substantive Lines
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65. Cilvēktiesību nozīme mākslīgā intelekta laikmetā. Privātums, datu aizsardzība un regulējums masveida novērošanas novēršanai
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67. Epigenetics and Responsibility
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70. AI and Epigenetic Responsibility
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71. AI and Epigenetic Responsibility
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72. Possible Prospects and Emerging Challenges for Use of AI for Educational Purposes
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73. Leveraging Machine Learning to Improve Human Resource Management: Volume 1, Key Findings and Recommendations for Policymakers
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75. Institutional Design for the Development of Algorithmic Democracy
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76. AI and Computer Science Education
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78. La carrera por la regulación de la inteligencia artificial
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80. Ethical Design Framework for Artificial Intelligence Healthcare Technologies
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82. Law of Obligations
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84. Data ethics in an emergency
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85. Realizing the Accountability of Algorithms in the Public Sector: A Reference Method for Managing Algorithm Registers
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89. Robot Rights/Human Responsibility
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94. Artificial Intelligence and Racial Discrimination
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100. The Production of and Control over Data in the AI-Era
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