Conference on Fairness, Accountability and TransparencyAditya Menon and Robert Williamson. The cost of fairness in binary classification. In Fairness, Accountability and Transparency, 2018.A. K. Menon and R. C. Williamson, "The cost of fairness in binary classification," in Proc. Conf. Fairness ...
In this work, we target this data documentation debt by surveying over two hundred datasets employed in algorithmic fairness research, and producing standardized and searchable documentation for each of them. Moreover we rigorously identify the three most popular fairness datasets, namely Adult, COMPAS...
(2018). Gender shades: Intersectional accuracy disparities in commercial gender classification. In S. A. Friedler & C. Wilson (Eds.), Proceedings of the 1st conference on fairness, accountability and transparency (pp. 77–91). Cartwright, N. (2002). Against modularity, the causal Markov ...
Receiving a favor from another person may induce a negative feeling of indebtedness for the beneficiary. In this study, we explore these hidden costs by developing and validating a conceptual model of indebtedness across three studies that combine a larg
2020-06-04 The effects of algorithmic flagging on fairness: quasi-experimental evidence from Wikipedia Abstract | PDF 2020-06-03 Causality and Batch Reinforcement Learning: Complementary Approaches To Planning In Unknown Domains Abstract | PDF 2020-06-03 Explaining The Behavior Of Black-Box Predict...
However, claims regarding the potential of artificial intelligence should be tempered in the context of real performance metrics, and challenges in fairness, maintaining privacy, and trust63,64,65,66. ASR may offer a cost-effective and reproducible way to transcribe sensitive conversations, but ...
While there certainly is merit to the altruistic argument of ethics and fairness in the market, government regulation will need to traverse a thin rope so as to avoid curbing a free market economy all the while regulating invasive technology. (The opinions expressed in the blog are personal to...
Manik Varma: So, if you look at the history of machine learning, then the most well-studied problem is binary classification where we learn to answer yes/no questions involving uncertainty. And then the community realized that, actually, there are many high-impact applications out ...
Through policy support, governmental support for OFDI activities can reduce the investment cost of firms, share investment risks, and reduce the losses that investment failure causes. The investment policy has the function of income sharing in the process of firms’ investment activities. An OFDI ...
— and Hubert Gatignon. 1986. “Models of Foreign Entry: A Transaction Cost Analysis and Propositions.”Journal of International Business Studies17 (3): 1–26. Google Scholar — and B. Weitz. 1992. “The Use of Pledges to Build and Sustain Commitment in Distribution Channels.”Journal of ...