Ethics and Governance of Artificial Intelligence

Creative Commons

Attribution 4.0 International

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