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Selected work:
- The Power of Natural Language Processing (2022, Harvard Business Review)
- Deep Transfer Learning & Beyond: Transformer Language Models in Information Systems Research (2022, ACM Computing Surveys)
- The Transformative Potential of Artificial Intelligence (2022, Futures)
- Forecasting AI Progress: A Research Agenda (2021, Technological Forecasting and Social Change)
- Forecasting Extreme Labor Displacement: A Survey of AI Practitioners (2020, Technological Forecasting and Social Change)
- Exploring AI Futures Through Role Play (2020, AAAI/ACM Conference on AI for Ethics and Society)
- A Holistic Framework for Forecasting Transformative AI (2019, Big Data and Cognitive Computing)
- Toward Mapping the Paths to AGI (2019, 12th Conference on Artificial General Intelligence)
- 3D Deep Learning for Detecting Pulmonary Nodules in CT Scans (2018, The Journal of the American Medical Informatics Association – JAMIA)
- Rethinking AI Strategy as Entangled Super Wicked Problems (2018, AAAI/ACM Conference on Artificial Intelligence, Ethics, and Society)