Machine Learning Processes as Sources of Ambiguity: Insights from AI Art

Machine Learning Processes as Sources of Ambiguity: Insights from AI Art

14 March 2024

Christian Sivertsen

Guido Salimbeni

Steve Benford

Papers citing "Machine Learning Processes as Sources of Ambiguity: Insights from AI Art"

4 / 4 papers shown

Title
Un-Straightening Generative AI: How Queer Artists Surface and Challenge the Normativity of Generative AI Models Jordan Taylor Joel Mire Franchesca Spektor Alicia DeVrio Maarten Sap Haiyi Zhu Sarah E Fox 58 1 0 12 Mar 2025
How Artists Improvise and Provoke Robotics Steve Benford Rachael Garrett Eike Schneiders Paul Tennent Alan Chamberlain Juan Avila Pat Brundell Simon Castle-Green 29 2 0 29 Oct 2024
Understanding and Creating Art with AI: Review and Outlook E. Cetinic James She 124 310 0 18 Feb 2021
Machine Learning Uncertainty as a Design Material: A Post-Phenomenological Inquiry J. Benjamin Arne Berger Nick Merrill James Pierce 33 91 0 11 Jan 2021