no code implementations • 7 Jun 2023 • Ziv Epstein, Aaron Hertzmann, Laura Herman, Robert Mahari, Morgan R. Frank, Matthew Groh, Hope Schroeder, Amy Smith, Memo Akten, Jessica Fjeld, Hany Farid, Neil Leach, Alex Pentland, Olga Russakovsky
A new class of tools, colloquially called generative AI, can produce high-quality artistic media for visual arts, concept art, music, fiction, literature, video, and animation.
no code implementations • 1 Feb 2023 • Amy Smith, Hope Schroeder, Ziv Epstein, Michael Cook, Simon Colton, Andrew Lippman
Text-to-image generative models have recently exploded in popularity and accessibility.
no code implementations • 17 Aug 2021 • Ziv Epstein, Matthew Groh, Abhimanyu Dubey, Alex "Sandy" Pentland
How does the visual design of digital platforms impact user behavior and the resulting environment?
1 code implementation • 13 May 2021 • Matthew Groh, Ziv Epstein, Chaz Firestone, Rosalind Picard
The recent emergence of machine-manipulated media raises an important societal question: how can we know if a video that we watch is real or fake?
no code implementations • 21 Jul 2020 • Ziv Epstein, Océane Boulais, Skylar Gordon, Matt Groh
By interpolating categories generated by GANs, it is possible to create novel hybrid images.
no code implementations • 6 Jul 2019 • Matthew Groh, Ziv Epstein, Nick Obradovich, Manuel Cebrian, Iyad Rahwan
Here we report on a randomized experiment designed to study the effect of exposure to media manipulations on over 15, 000 individuals' ability to discern machine-manipulated media.
no code implementations • 20 Mar 2018 • Ziv Epstein, Blakeley H. Payne, Judy Hanwen Shen, Abhimanyu Dubey, Bjarke Felbo, Matthew Groh, Nick Obradovich, Manuel Cebrian, Iyad Rahwan
AI researchers employ not only the scientific method, but also methodology from mathematics and engineering.