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Ethics and Governance of Artificial Intelligence

Omni Daily

Publication

Adversarial attacks on medical machine learning

Finlayson, S. G., Bowers, J. D., Ito, J., Zittrain, J. L., Beam, A. L., & Kohane, I. S. (2019). Adversarial attacks on medical machine learning. Science, 363(6433), 1287. https://doi.org/10.1126/science.aaw4399

Publication

Science & Democracy: "The Limits of Ethical A.I."

Ito, J. (2018, November). Lecture: The Limits of Ethical A.I. Science and Democracy Lecture, Harvard Program on Science, Technology & Society. Cambridge, MA.

Publication

DragonPaint: Rule-based bootstrapping for small data with an application to cartoon coloring

G. Greene, 2018, "DragonPaint: Rule based bootstrapping for small data with an application to cartoon coloring," In ​ Proceedings of the 4th International Conference on Predictive Applications and APIs , volume 82: 1-9, PMLR

Publication

Interventions over Predictions: Reframing the Ethical Debate for Actuarial Risk Assessment

Chelsea Barabas, Madars Virza, Karthik Dinakar, Joichi Ito, Jonathan Zittrain ; Proceedings of the 1st Conference on Fairness, Accountability and Transparency, PMLR 81:62-76, 2018.

Publication

Untapped Potential: Energy Savings and Climate Benefits from Strengthening Water Use Efficiency in China’s Building and Industrial Sector

M. Davidson, G. Greene, M. Liu, 2012, "Untapped Potential: Energy Savings and Climate Benefits from Strengthening Water Use Efficiency in China’s Building and Industrial Sector", China Environment Series ​, ​ 12: 8-31

Publication

Spatial and Quantitative Approach to Incorporating Stakeholder Values into Total Maximum Daily Loads: Dominguez Channel Case Study

J. Stewart, T. Baginski, G. Greene, A. Smith, A. Sicherman, Oct. 11, 2008, "Spatial and Quantitative Approach to Incorporating Stakeholder Values into Total Maximum Daily Loads: Dominguez Channel Case Study," Journal of Map and Geography Libraries, Vol. 4(2): 296-307