Ziv Epstein

According to our database, Ziv Epstein authored at least 23 papers between 2016 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of three.

2024

Deceptive AI systems that give explanations are more convincing than honest AI systems and can amplify belief in misinformation.

Valdemar Danry, Pat Pataranutaporn, Matthew Groh, Ziv Epstein, Pattie Maes

CoRR, 2024

LLMs as Research Tools: Applications and Evaluations in HCI Data Work.

Marianne Aubin Le Quéré, Hope Schroeder, Casey Randazzo, Jie Gao, Ziv Epstein, Simon Tangi Perrault, David Mimno, Louise Barkhuus, Hanlin Li

Proceedings of the Extended Abstracts of the CHI Conference on Human Factors in Computing Systems, 2024

2023

Art and the science of generative AI: A deeper dive.

Ziv Epstein, Aaron Hertzmann, Laura Mariah Herman, Robert Mahari, Morgan R. Frank, Matthew Groh, Hope Schroeder, Amy Smith, Memo Akten, Jessica Fjeld, Hany Farid, Neil Leach, Alex Pentland, Olga Russakovsky

CoRR, 2023

Trash to Treasure: Using text-to-image models to inform the design of physical artefacts.

Amy Smith, Hope Schroeder, Ziv Epstein, Michael Cook, Simon Colton, Andrew Lippman

CoRR, 2023

2022

Deceptive AI Systems That Give Explanations Are Just as Convincing as Honest AI Systems in Human-Machine Decision Making.

Valdemar Danry, Pat Pataranutaporn, Ziv Epstein, Matthew Groh, Pattie Maes

CoRR, 2022

Quantifying attention via dwell time and engagement in a social media browsing environment.

Ziv Epstein, Hause Lin, Gordon Pennycook, David G. Rand

CoRR, 2022

How many others have shared this? Experimentally investigating the effects of social cues on engagement, misinformation, and unpredictability on social media.

Ziv Epstein, Hause Lin, Gordon Pennycook, David G. Rand

CoRR, 2022

Yourfeed: Towards open science and interoperable systems for social media.

Ziv Epstein, Hause Lin

CoRR, 2022

Do Explanations Increase the Effectiveness of AI-Crowd Generated Fake News Warnings?

Ziv Epstein, Nicolò Foppiani, Sophie Hilgard, Sanjana Sharma, Elena L. Glassman, David G. Rand

Proceedings of the Sixteenth International AAAI Conference on Web and Social Media, 2022

Co-creation and ownership for AI radio.

Skylar Gordon, Robert Mahari, Manaswi Mishra, Ziv Epstein

Proceedings of the 13th International Conference on Computational Creativity, Bozen-Bolzano, Italy, June 27, 2022

When happy accidents spark creativity: Bringing collaborative speculation to life with generative AI.

Ziv Epstein, Hope Schroeder, Dava Newman

Proceedings of the 13th International Conference on Computational Creativity, Bozen-Bolzano, Italy, June 27, 2022

2021

Social Influence Leads to the Formation of Diverse Local Trends.

Ziv Epstein, Matthew Groh, Abhimanyu Dubey, Alex Pentland

Proc. ACM Hum. Comput. Interact., 2021

Comparing Human and Machine Deepfake Detection with Affective and Holistic Processing.

Matthew Groh, Ziv Epstein, Chaz Firestone, Rosalind W. Picard

CoRR, 2021

Human detection of machine-manipulated media.

Matthew Groh, Ziv Epstein, Nick Obradovich, Manuel Cebrián, Iyad Rahwan

Commun. ACM, 2021

2020

Interpolating GANs to Scaffold Autotelic Creativity.

Ziv Epstein, Océane Boulais, Skylar Gordon, Matthew Groh

CoRR, 2020

Will the Crowd Game the Algorithm?: Using Layperson Judgments to Combat Misinformation on Social Media by Downranking Distrusted Sources.

Ziv Epstein, Gordon Pennycook, David G. Rand

Proceedings of the CHI '20: CHI Conference on Human Factors in Computing Systems, 2020

2019

The Good, the Bad, and the Unflinchingly Selfish: Pro-sociality can be Well Predicted Using Payoffs and Three Behavioral Types.

Ziv Epstein, Alexander Peysakhovich, David G. Rand

ACM Trans. Economics and Comput., 2019

Towards a new social laboratory: An experimental study of search through community participation at Burning Man.

Ziv Epstein, Micah Epstein, Christian Almenar, Matthew Groh, Niccolo Pescetelli, Esteban Moro, Nick Obradovich, Manuel Cebrián, Iyad Rahwan

CoRR, 2019

2018

Closing the AI Knowledge Gap.

Ziv Epstein, Blakeley H. Payne, Judy Hanwen Shen, Abhimanyu Dubey, Bjarke Felbo, Matthew Groh, Nick Obradovich, Manuel Cebrián, Iyad Rahwan

CoRR, 2018

TuringBox: An Experimental Platform for the Evaluation of AI Systems.

Ziv Epstein, Blakeley H. Payne, Judy Hanwen Shen, Casey Jisoo Hong, Bjarke Felbo, Abhimanyu Dubey, Matthew Groh, Nick Obradovich, Manuel Cebrián, Iyad Rahwan

Proceedings of the Twenty-Seventh International Joint Conference on Artificial Intelligence, 2018

2017

Using clinical data to predict high-cost performance coding issues associated with pressure ulcers: a multilevel cohort model.

William V. Padula, Robert D. Gibbons, Peter J. Pronovost, Donald Hedeker, Manish K. Mishra, Mary B. Makic, John F. P. Bridges, Heidi L. Wald, Robert Valuck, Adam J. Ginensky, Anthony Ursitti, Laura Ruth Venable, Ziv Epstein, David O. Meltzer

J. Am. Medical Informatics Assoc., 2017

2016

The Good, the Bad, and the Unflinchingly Selfish: Cooperative Decision-Making can be Predicted with high Accuracy when using only Three Behavioral Types.

Ziv Epstein, Alexander Peysakhovich, David G. Rand

Proceedings of the 2016 ACM Conference on Economics and Computation, 2016

Visualizing Scissors Congruence.

Satyan L. Devadoss, Ziv Epstein, Dmitriy Smirnov

Proceedings of the 32nd International Symposium on Computational Geometry, 2016