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Ethical Framework to Assess and Quantify the Trustworthiness of Artificial Intelligence Techniques: Application Case in Remote Sensing
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Ethical Framework to Assess and Quantify the Trustworthiness of Artificial Intelligence Techniques: Application Case in Remote Sensing (2024)Ethical Framework to Assess and Quantify …An ethics assessment list for geoinformation ecosystems: revisiting the integrated geospatial information framework of the United Nations (2023)An ethics assessment list for…Beyond bias and discrimination: redefining the AI ethics principle of fairness in healthcare machine-learning algorithms (2022)Beyond bias and discriminatio…AI ethics and data governance in the geospatial domain of Digital Earth (2022)AI ethics and data governance…Fairness and accountability of AI in disaster risk management: Opportunities and challenges (2021)Fairness and accountability o…A Survey on Bias and Fairness in Machine Learning (2021)A Survey on Bias and Fairness…A Framework of Potential Sources of Harm Throughout the Machine Learning Life Cycle (2021)A Framework of Potential Sour…The global landscape of AI ethics guidelines (2019)The global landscape of AI et…Social Data: Biases, Methodological Pitfalls, and Ethical Boundaries (2019)Social Data: Biases, Methodol…Birds of a Feather: Homophily in Social Networks (2001)Designing and Conducting Mixed Methods Research (2010)Constructing grounded theory (2014)Detection and Resolution of Rumours in Social Media (2018)A Survey of Fake News (2020)Re-Thinking Data Strategy and Integration for Artificial Intelligence: Concepts, Opportunities, and Challenges (2023)Preferred reporting items for systematic reviews and meta-analyses: the PRISMA statement (2009)Preferred Reporting Items for Systematic Reviews and Meta-Analyses: The PRISMA Statement (2009)Preferred reporting items for systematic reviews and meta-analyses: the PRISMA Statement. (2009)Principles alone cannot guarantee ethical AI (2019)The Ethics of AI Ethics: An Evaluation of Guidelines (2020)Ethics of AI in Education: Towards a Community-Wide Framework (2021)Fairness through awareness (2012)Semantics derived automatically from language corpora contain human-like biases (2017)Gender Shades: Intersectional Accuracy Disparities in Commercial Gender Classification (2018)Algorithmic Bias in Education (2021)Connecting the dots in trustworthy Artificial Intelligence: From AI principles, ethics, and key requirements to responsible AI systems and regulation (2023)Fairness and Bias in Artificial Intelligence: A Brief Survey of Sources, Impacts, and Mitigation Strategies (2023)Big Data's Disparate Impact (2014)AI4People—An Ethical Framework for a Good AI Society: Opportunities, Risks, Principles, and Recommendations (2018)Algorithms of Oppression (2018)The role of the African value of Ubuntu in global AI inclusion discourse: A normative ethics perspective (2022)Assessing the Accuracy of ChatGPT Use for Risk Management in Construction Projects (2023)Towards Risk‐Free Trustworthy Artificial Intelligence: Significance and Requirements (2023)A theory of justice original editionEpistemic Injustice (2007)Dissecting racial bias in an algorithm used to manage the health of populations (2019)Deepfakes, Misinformation, and Disinformation in the Era of Frontier AI, Generative AI, and Large AI Models (2023)Societal impacts of artificial intelligence: Ethical, legal, and governance issues (2024)Unveiling the dynamics of AI applications: A review of reviews using scientometrics and BERTopic modeling (2024)From What to How: An Initial Review of Publicly Available AI Ethics Tools, Methods and Research to Translate Principles into Practices (2019)Exploring the Evolution of Big Data Technologies: A Systematic Literature Review of Trends, Challenges, and Future Directions (2025)Responsible AI for Cities: A Case Study of GeoAI in African Informal Settlements (2025)Trouble in the heartland: GIS and its critics in the 1990s (2000)Towards systemic and contextual priority setting for implementing the 2030 Agenda (2017)Transforming Our World: The 2030 Agenda for Sustainable Development (2018)Are National Spatial Data Infrastructures Adequate for Achieving the 2030 Agenda? A Case Study of Brazil's NSDI from the Perspective of UN‐GGIM Fundamental Themes (2025)Towards a standard for identifying and managing bias in artificial intelligence (2022)Humans inherit artificial intelligence biases (2023)Sociotechnical Harms of Algorithmic Systems: Scoping a Taxonomy for Harm Reduction (2023)
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References

  • 2019The global landscape of AI ethics guidelines6,172 cited
  • 2021A Survey on Bias and Fairness in Machine Learning5,798 cited
  • 2019Social Data: Biases, Methodological Pitfalls, and Ethical Boundaries762 cited
  • 2021A Framework of Potential Sources of Harm Throughout the Machine Learning Life Cycle573 cited
  • 2022Beyond bias and discrimination: redefining the AI ethics principle of fairness in healthcare machine-learning algorithms193 cited
  • 2021Fairness and accountability of AI in disaster risk management: Opportunities and challenges111 cited
  • 2022AI ethics and data governance in the geospatial domain of Digital Earth29 cited
  • 2023An ethics assessment list for geoinformation ecosystems: revisiting the integrated geospatial information framework of the United Nations9 cited

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