| Adjusting to the GDPR: The impact on data scientists and behavioral researchers T Greene, G Shmueli, S Ray, J Fell Big data 7 (3), 140-162, 2019 | 66 | 2019 |
| Barriers to academic data science research in the new realm of algorithmic behaviour modification by digital platforms T Greene, D Martens, G Shmueli Nature Machine Intelligence 4 (4), 323-330, 2022 | 39 | 2022 |
| Taking the person seriously: Ethically aware IS research in the era of reinforcement learning-based personalization T Greene, G Shmueli, S Ray Journal of the Association for Information Systems 24 (6), 1527-1561, 2023 | 34 | 2023 |
| A biocentric perspective on HCI design research involving plants J Fell, PY Kuo, T Greene, JC Wang ACM Transactions on Computer-Human Interaction 29 (5), 1-37, 2022 | 34* | 2022 |
| Forks over knives: Predictive inconsistency in criminal justice algorithmic risk assessment tools T Greene, G Shmueli, J Fell, CF Lin, HW Liu Journal of the Royal Statistical Society Series A: Statistics in Society 185 …, 2022 | 21* | 2022 |
| Atomist or holist? A diagnosis and vision for more productive interdisciplinary AI ethics dialogue T Greene, A Dhurandhar, G Shmueli Patterns 4 (1), 2023 | 15 | 2023 |
| How Personal is Machine Learning Personalization? T Greene, G Shmueli arXiv preprint arXiv:1912.07938, 2019 | 7 | 2019 |
| Beware of" explanations" of AI D Martens, G Shmueli, T Evgeniou, K Bauer, C Janiesch, S Feuerriegel, ... arXiv preprint arXiv:2504.06791, 2025 | 6 | 2025 |
| Monetizing explainable ai: A double-edged sword T Greene, S Goethals, D Martens, G Shmueli arXiv preprint arXiv:2304.06483, 2023 | 4 | 2023 |
| Persons and personalization on digital platforms: A philosophical perspective T Greene, G Shmueli Philosophy of artificial intelligence and its place in society, 214-270, 2023 | 2 | 2023 |
| Seeing humans in the data: Ethical blind spots of Taiwan academic researchers in the era of behavioral big data J Fell, G Shmueli, T Greene, JC Wang, S Ray, SY Wu | 2 | 2021 |
| From What Ifs to Insights: Counterfactuals in Causal Inference vs. Explainable AI G Shmueli, D Martens, J Yoo, T Greene arXiv preprint arXiv:2505.13324, 2025 | 1 | 2025 |
| Monetization could corrupt algorithmic explanations T Greene, S Goethals, D Martens, G Shmueli AI & SOCIETY, 1-18, 2025 | 1 | 2025 |
| Beyond our behavior: the GDPR and humanistic personalization T Greene, G Shmueli arXiv preprint arXiv:2008.13404, 2020 | 1 | 2020 |
| Good intentions, unintended consequences: exploring forecasting harms B Rostami-Tabar, T Greene, G Shmueli, RJ Hyndman arXiv preprint arXiv:2411.16531, 2024 | | 2024 |
| Responsible forecasting: identifying and typifying forecasting harms B Rostami-Tabar, T Greene, G Shmueli, RJ Hyndman arXiv e-prints, arXiv: 2411.16531, 2024 | | 2024 |
| GDPR 時代的數據科學: 數據科學家, 經理人及學術研究人員的實務啟示 葛陵偉 清華大學國際專業管理碩士班 (IMBA) 學位論文, 1-127, 2019 | | 2019 |
| Analyzing the Impact of GDPR on Data Scientists Using the InfoQ Framework G Shmueli, T Greene Available at SSRN 3183625, 2018 | | 2018 |
| Situating Data Science in the Wake of the GDPR: Practical Implications for Data Scientists, Their Managers, and Academic Researchers T Greene National Tsing Hua University, 2018 | | 2018 |
| Information, Experience, and the Knowledge Argument T Greene San Francisco State University, 2012 | | 2012 |
Galit ShmueliChair Professor, National Tsing Hua UniversityVerified email at iss.nthu.edu.tw
