Travis Greene

According to our database, Travis Greene authored at least 11 papers between 2019 and 2023.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of four.

2023

Atomist or holist? A diagnosis and vision for more productive interdisciplinary AI ethics dialogue.

Travis Greene, Amit Dhurandhar, Galit Shmueli

Patterns, January, 2023

Taking the Person Seriously: Ethically Aware IS Research in the Era of Reinforcement Learning-Based Personalization.

Travis Greene, Galit Shmueli, Soumya Ray

J. Assoc. Inf. Syst., 2023

Monetizing Explainable AI: A Double-edged Sword.

Travis Greene, Sofie Goethals, David Martens, Galit Shmueli

CoRR, 2023

2022

A Biocentric Perspective on HCI Design Research Involving Plants.

Jan Fell, Pei-Yi Kuo, Travis Greene, Jyun-Cheng Wang

ACM Trans. Comput. Hum. Interact., 2022

Barriers to academic data science research in the new realm of algorithmic behaviour modification by digital platforms.

Travis Greene, David Martens, Galit Shmueli

Nat. Mach. Intell., 2022

2021

Seeing Humans in the Data: Ethical Blind Spots of Taiwan Academic Researchers in the Era of Behavioral Big Data.

Jan Fell, Galit Shmueli, Travis Greene, Jyun-Cheng Wang, Soumya Ray, Shu-Yuan Wu

Proceedings of the 54th Hawaii International Conference on System Sciences, 2021

2020

The Hidden Inconsistencies Introduced by Predictive Algorithms in Judicial Decision Making.

Travis Greene, Galit Shmueli, Jan Fell, Ching-Fu Lin, Mark L. Shope, Han-Wei Liu

CoRR, 2020

Beyond Our Behavior: The GDPR and Humanistic Personalization.

Travis Greene, Galit Shmueli

CoRR, 2020

Beyond Human-Centered Design: Proposing a Biocentric View on Design Research Involving Vegetal Subjects.

Jan Fell, Travis Greene, Jyun-Cheng Wang, Pei-Yi Kuo

Proceedings of the DIS '20: Designing Interactive Systems Conference 2020, 2020

2019

How Personal is Machine Learning Personalization?

Travis Greene, Galit Shmueli

CoRR, 2019

Adjusting to the GDPR: The Impact on Data Scientists and Behavioral Researchers.

Travis Greene, Galit Shmueli, Soumya Ray, Jan Fell

Big Data, 2019