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AI and Ethics—Operationalizing Responsible AI · Study

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ChapterAI and Ethics—Operationalizing Responsible AI

Liming Zhu2021

Chapter2021

AI and Ethics—Operationalizing Responsible AI

Liming Zhu · Xiwei Xu · Qinghua Lu · Guido Governatori A · Jon Whittle

47 citations·0/0 files stored·Springer eBooks

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Ethics and Social Impacts of AI Explainable Artificial Intelligence (XAI)Safety Systems Engineering in Autonomy

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References

2011International Organization for Standardization 2019The global landscape of AI ethics guidelines 2019Principles alone cannot guarantee ethical AI 2019Responsible Artificial Intelligence 2020Principled Artificial Intelligence: Mapping Consensus in Ethical and Rights-Based Approaches to Principles for AI 2020Bridging the Gap Between Ethics and Practice 2021Towards Accountability for Machine Learning Datasets: Practices from Software Engineering and Infrastructure 2021How Humans Judge Machines

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2025Integrating ESG and AI: a comprehensive responsible AI assessment framework 2024The Convergence of Artificial Intelligence and Privacy: Navigating Innovation with Ethical Considerations 2023Developing Responsible Chatbots for Financial Services: A Pattern-Oriented Responsible Artificial Intelligence Engineering Approach 2022On the violation of honesty in mobile apps

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Year2021

Typechapter

Published2021-12-01

VenueSpringer eBooks

Languageen

Citations47

Files0 public / 0

ShelfEthics and Social Impacts of AI

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doi10.1007/978-3-030-72188-6_2

openalex_workW4200112156

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