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How Futures Studies and Foresight Could Address Ethical Dilemmas of Machine Learning and Artificial Intelligence
16 references·0 citing·47 second hop
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References

  • n.d.Forecasting principles and practice4,364 cited
  • 2016The ethics of algorithms: Mapping the debate3,541 cited
  • 2008The bottom billion: why the poorest countries are failing and what can be done about it3,033 cited
  • 2018Statistical and Machine Learning forecasting methods: Concerns and ways forward1,515 cited
  • 1988Technological forecasting and social change1,140 cited
  • 2014Birds of the Same Feather Tweet Together: Bayesian Ideal Point Estimation Using Twitter Data982 cited
  • 2018Big Data and AI – A transformational shift for government: So, what next for research?272 cited
  • 2020The Rise of Big Data Policing238 cited
  • 2019Using a Probabilistic Model to Assist Merging of Large-Scale Administrative Records227 cited
  • 2018Smart home: Highly-educated students' acceptance195 cited
  • 2019Big Data and discrimination: perils, promises and solutions. A systematic review186 cited
  • 2016To do more, better, faster and more cheaply: using big data in public administration176 cited
  • 2017Governance of big data collaborations: How to balance regulatory compliance and disruptive innovation150 cited
  • 2017The New Public Address System: Why Do World Leaders Adopt Social Media?136 cited
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A study of big data evolution and research challenges
129 cited
  • 2018Machine Learning for Public Administration Research, With Application to Organizational Reputation126 cited
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