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Artificial Intelligence for data-driven decision-making and governance in public affairs · Study

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Artificial Intelligence for data-driven decision-making and governance in public affairs

Vincent Charles, Nripendra Pratap Rana, Lemuria D. Carter

2022-07-22articleGovernment Information Quarterly101 citationsclosed

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E-Government and Public Services Ethics and Social Impacts of AI Smart Cities and Technologies

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References

2018AI4People—An Ethical Framework for a Good AI Society: Opportunities, Risks, Principles, and Recommendations

2017What can machine learning do? Workforce implications

2018Mapping the challenges of Artificial Intelligence in the public sector: Evidence from public healthcare

2020Data governance: Organizing data for trustworthy Artificial Intelligence

2019How and where is artificial intelligence in the public sector going? A literature review and research agenda

2017A Layered Model for AI Governance

2018Artificial intelligence for the public sector: opportunities and challenges of cross-sector collaboration

2020Artificial intelligence and effective governance: A review, critique and research agenda

Cited by

2023AI-DRIVEN TALENT ANALYTICS FOR STRATEGIC HR DECISION-MAKING IN THE UNITED STATES OF AMERICA: A REVIEW

Details

Year2022

Typearticle

VenueGovernment Information Quarterly

Languageen

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Identifiers

doi10.1016/j.giq.2022.101742

openalex_workW4286449686

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