Presentation

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Critical Climate Machine: A Visual and Musical Exploration of Climate Misinformation through Machine Learning
SessionFace & Interface
DescriptionPioneering new ways to engage with art, technology, and society, Critical Climate Machine directly addresses current misinformation issues. It seeks to mitigate its effects by mediating accurate scientific content, combining machine learning strategies. In this paper, we aim to critically examine the role of such technologies in creating aesthetic experiences that resonate within scientific discourse and public debate.
Authors
Gaëtan Robillard
Université Paris 8
Université Gustave Eiffel
Jérôme Nika
Ircam Centre Pompidou
Event Type
Art Papers
TimeMonday, 29 July 20242:00pm - 3:30pm MDT
LocationFour Seasons 4
ACM Digital Library Journal Papers' PDFs
Conference Papers' PDFs
ACM Digital Library Art Papers' PDFs
Session Time & Location
Sunday, 28 July 20246:00pm - 8:45pm MDTBluebird Ballroom
Monday, 29 July 20242:00pm - 3:30pm MDTFour Seasons 4
Interest Areas
Arts & Design
New Technologies
Research & Education
Recordings
Livestreamed
Recorded
Keywords
AI
Audio/Music
Diversity & Inclusion
Education
Machine Learning
Real-Time
Scientific Visualization
Registration Categories
Full Conference
Full Conference Supporter
Virtual Access
Experience
Exhibitor Full Conference
Exhibitor Experience
Monday
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