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Trav­is Greene

Tenure Track Assistant Professor

Subjects
Big data Artificial intelligence Machine learning Data Ethics Philosophy

Primary research areas

Data science ethics

Philosophy of Information Systems

Personalization

Bridging the creativity of the humanities with the precision of data science

I am a tenure-track Assistant Professor at Copenhagen Business School’s Department of Digitalization. I have a Ph.D. in business analytics from the Institute of Service Science at National Tsing Hua University in Taiwan. My current research is focused on the ethics and philosophy of new and emerging data science methods and applications, especially in business contexts. I am interested in how we can leverage our best normative theories in ethics and political philosophy to help us align and evaluate AI/ML applications in society.  

My interdisciplinary research has appeared in journals such as AI & Society, Nature Machine Intelligence, Journal of the Association for Information Systems, Journal of the Royal Statistical Society, and Big Data. Broadly, my work aims to contribute new perspectives, frameworks, and ideas from the humanities into data science, and vice versa. 

Recent research projects

Towards Socially Responsible Forecasting: Identifying and Typifying Forecasting Harms

We developed a novel harm taxonomy for forecasting based on a synthesis of philosophical theories of harm and semi-structured interviews with 21 expert industry practitioners and academic researchers.

Beware of “Explanations” of AI

A good explanation is context-dependent. This project creates practical guidelines to help practitioners know when explainable AI methods work well and when they risk backfiring.