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Enabling people-centric climate action using human-in-the-loop artificial intelligence: a review
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References

  • 2024Trust in AI: progress, challenges, and future directions614 cited
  • 2021The AI gambit: leveraging artificial intelligence to combat climate change—opportunities, challenges, and recommendations604 cited
  • 2024When combinations of humans and AI are useful: A systematic review and meta-analysis583 cited
  • 2020Augmenting the algorithm: Emerging human-in-the-loop work configurations362 cited
  • 2024The potential of generative AI for personalized persuasion at scale311 cited
  • 1998THE ART OF DESIGNING SOCIALLY INTELLIGENT AGENTS: SCIENCE, FICTION, AND THE HUMAN IN THE LOOP241 cited
  • 2023Should ChatGPT Be Biased? Challenges and Risks of Bias in Large Language Models133 cited
  • 2022Incorporating human behaviour into Earth system modelling72 cited
  • 2024AI-Driven Approach for Enhancing Sustainability in Urban Public Transportation63 cited
  • 2021Filling gaps in trustworthy development of AI57 cited
  • 2023Large language models and political science56 cited
  • 2024Human-AI collaboration to identify literature for evidence synthesis55 cited
  • 2023Harnessing human and machine intelligence for planetary-level climate action50 cited
  • 2024AI for crisis decisions41 cited
  • 2023Climate change and the political pathways of AI: The technocracy-democracy dilemma in light of artificial intelligence and human agency

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  • 2022A responsible AI framework: pipeline contextualisation21 cited
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