Page 81 - Read Online
P. 81

Su et al. Intell Robot 2022;2(3):244­74  I http://dx.doi.org/10.20517/ir.2022.17    Page 274


               112. Veitch V, Wang Y, Blei D. Using embeddings to correct for unobserved confounding in networks; 2019. pp. 13769–79. DOI
               113. Kallus N, Puli AM, Shalit U. Removing hidden confounding by experimental grounding; 2018. pp. 10888–97. DOI
               114. Mhasawade V, Chunara R. Causal multi­level fairness. In: Proceedings of the AAAI/ACM Conference on AI, Ethics, and Society; 2021.
                   pp. 784–94. DOI
               115. Lum K, Isaac W. To predict and serve? Significance 2016;13:14–19. DOI
               116. Hu L, Chen Y. A short­term intervention for long­term fairness in the labor market. In: The Web Conference; 2018. pp. 1389–98. DOI
               117. Mouzannar H, Ohannessian MI, Srebro N. From fair decision making to social equality. In: Proceedings of the Conference on Fairness,
                   Accountability, and Transparency; 2019. pp. 359–68. DOI
               118. Bountouridis D, Harambam J, Makhortykh M, et al. Siren: A simulation framework for understanding the effects of recommender
                   systems in online news environments. In: Proceedings of the Conference on Fairness, Accountability, and Transparency; 2019. pp.
                   150–59. DOI
               119. Kannan S, Roth A, Ziani J. Downstream effects of affirmative action. In: Proceedings of the Conference on Fairness, Accountability,
                   and Transparency; 2019. pp. 240–48. DOI
               120. D’Amour A, Srinivasan H, Atwood J, et al. Fairness is not static: deeper understanding of long term fairness via simulation studies. In:
                   Proceedings of the Conference on Fairness, Accountability, and Transparency; 2020. pp. 525–34. DOI
               121. Creager E, Madras D, Pitassi T, Zemel R. Causal modeling for fairness in dynamical systems. In: International Conference on Machine
                   Learning; 2020. pp. 2185–95. DOI
               122. Saghiri AM, Vahidipour SM, Jabbarpour MR, Sookhak M, Forestiero A. A Survey of Artificial Intelligence Challenges: Analyzing the
                   Definitions, Relationships, and Evolutions. App Sci 2022;12:4054. DOI
               123. Tople S, Sharma A, Nori A. Alleviating privacy attacks via causal learning. In: International Conference on Machine Learning; 2020.
                   pp. 9537–47. DOI
   76   77   78   79   80   81   82   83   84   85   86