Image Recognition as a “Dialogic AI Partner” Within Biodiversity Citizen Science—an empirical investigation

Image Recognition as a “Dialogic AI Partner” Within Biodiversity Citizen Science—an empirical investigation

We investigate the potential of a new citizen science paradigm that facilitates collaborative learning between humans and artificial intelligence (AI). Recognising the potential of AI to support and empower rather than replace human participation, we explore the integration of image recognition as a...

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Bibliographic Details
Main Authors: Nirwan Sharma, Laura Colucci-Gray, Poppy Lakeman-Fraser, Annie Robinson, Julie Newman, René Van der Wal, Stefan Rueger, Advaith Siddharthan
Format: Article
Language:English
Published: Ubiquity Press 2024-12-01
Series:Citizen Science: Theory and Practice
Subjects:
biodiversity citizen science
dialogism
human-ai collaboration
species identification
machine learning
bayesian reasoning
image recognition
Online Access:https://account.theoryandpractice.citizenscienceassociation.org/index.php/up-j-cstp/article/view/735
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https://account.theoryandpractice.citizenscienceassociation.org/index.php/up-j-cstp/article/view/735

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