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Empowering local communities using artificial intelligence
16 references·5 citing·53 second hop
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(1998)Confirmation bias: A ubiquito…Confirmation Bias: A Ubiquitous Phenomenon in Many Guises (1998)Confirmation Bias: A Ubiquito…An Assessment of the Scientific Merits of Action Research (1978)An Assessment of the Scientif…Participatory AI Considerations for Advancing Racial Health Equity (2025)Participatory AI Consideratio…Leveraging the collaborative power of AI and citizen science for sustainable development (2024)Leveraging the collaborative …Understanding Practices, Challenges, and Opportunities for User-Engaged Algorithm Auditing in Industry Practice (2023)Understanding Practices, Chal…FATE in AI: Towards Algorithmic Inclusivity and Accessibility (2023)FATE in AI: Towards Algorithm…Social Inclusion in Curated Contexts: Insights from Museum Practices (2022)Social Inclusion in Curated C…Aspects of Scientific Explanation and other Essays in the Philosophy of Science (1965)Steps to an Ecology of Mind (1973)The Case Research Strategy in Studies of Information Systems (1987)Action research for operations management (2002)Action Design Research1 (2011)The Logic of Scientific Discovery (2013)A Theory of Cognitive Dissonance (1957)The Structure of Scientific Revolutions (1963)Judgment under Uncertainty: Heuristics and Biases (1975)Individual differences in reasoning: Implications for the rationality debate? 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References

  • 2018Transforming Our World: The 2030 Agenda for Sustainable Development19,350 cited
  • 1998Confirmation Bias: A Ubiquitous Phenomenon in Many Guises7,230 cited
  • 2016How the machine ‘thinks’: Understanding opacity in machine learning algorithms3,179 cited
  • 1978An Assessment of the Scientific Merits of Action Research2,256 cited
  • 2023An assessment of the scientific merits of action research1,574 cited
  • 2011The IKEA effect: When labor leads to love1,044 cited
  • 2009Service Design for Experience-Centric Services961 cited
  • 1998Confirmation bias: A ubiquitous phenomenon in many guises.795 cited
  • 2021“Everyone wants to do the model work, not the data work”: Data Cascades in High-Stakes AI774 cited
  • 2020Bridging the Gap Between Ethics and Practice747 cited
  • 2019Citizen science and the United Nations Sustainable Development Goals633 cited
  • 2001Constructing the scientific citizen: Science and democracy in the biosciences583 cited
  • 2019The Promise of Empathy412 cited
  • 2022Participation Is not a Design Fix for Machine Learning267 cited
  • 2021Envisioning Communities: A Participatory Approach Towards AI for Social Good115 cited

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  • 2019Opportunities and Risks for Citizen Science in the Age of Artificial Intelligence107 cited
  • Cited by

    • 2023Understanding Practices, Challenges, and Opportunities for User-Engaged Algorithm Auditing in Industry Practice75 cited
    • 2024Leveraging the collaborative power of AI and citizen science for sustainable development35 cited
    • 2023FATE in AI: Towards Algorithmic Inclusivity and Accessibility34 cited
    • 2022Social Inclusion in Curated Contexts: Insights from Museum Practices29 cited
    • 2025Participatory AI Considerations for Advancing Racial Health Equity15 cited