Ethical AI spans a gamut of considerations. Among these, the most popular ones, fairness and interpretability, have remained largely distinct in technical pursuits. We discuss and elucidate the differences between fairness and interpretability across a variety of dimensions. Further, we develop two principles-based frameworks towards developing ethical AI for the future that embrace aspects of both fairness and interpretability. First, interpretability for fairness proposes instantiating interpretability within the realm of fairness to develop a new breed of ethical AI. Second, fairness and interpretability initiates deliberations on bringing the best aspects of both together. We hope that these two frameworks will contribute to intensifying scholarly discussions on new frontiers of ethical AI that brings together fairness and interpretability.
翻译:道德的大赦国际涉及各种各样的考虑,其中最受欢迎的是公平性和可解释性,在技术上仍然大不相同。我们讨论并阐明公平性和可解释性之间的不同。此外,我们制定了两个原则框架,为未来制定道德的大赦国际,其中既包括公平性,也包括可解释性。首先,公平性解释提出在公平范围内可即时解释性,以发展新的伦理性学会。第二,公平和可解释性引发关于将两者的最佳方面结合起来的讨论。我们希望这两个框架将有助于加强关于道德的大赦国际新界限的学术讨论,将公平和可解释性结合起来。