Ethical machines: The human-centric use of artificial intelligence.
Ethical machines: The human-centric use of artificial intelligence.
复制标题
DOI：
10.1016/j.isci.2021.102249
复制
发表时间：
2021-03-19
期刊：
影响因子：
5.8
通讯作者：
Pentland A
中科院分区：
文献类型：
--
作者：
Lepri B;Oliver N;Pentland A
如今，大量人类行为数据的可用性越来越高，人工智能（AI）的进步也使得人们越来越依赖算法来为人类做出重大决策，包括与获得信贷或医疗、招聘等相关的决策。与受偏见、利益冲突或疲劳影响的人类相比，算法决策过程可能会产生更客观的决策。然而，算法决策因其可能导致隐私侵犯、信息不对称、不透明和歧视而受到批评。在本文中，我们描述了三个我们认为对实现以人为中心的人工智能至关重要的大领域的可用技术解决方案：(1)隐私和数据所有权；(2)问责制和透明度；(3)公平。我们还强调了让研究人员、从业者、政策制定者和公民组成的多学科团队共同开发和评估现实世界算法决策过程的重要性和紧迫性，这些算法决策过程旨在最大限度地提高公平性、问责制和透明度，同时尊重隐私。算法;人工智能;电脑隐私
Today's increased availability of large amounts of human behavioral data and advances in artificial intelligence (AI) are contributing to a growing reliance on algorithms to make consequential decisions for humans, including those related to access to credit or medical treatments, hiring, etc. Algorithmic decision-making processes might lead to more objective decisions than those made by humans who may be influenced by prejudice, conflicts of interest, or fatigue. However, algorithmic decision-making has been criticized for its potential to lead to privacy invasion, information asymmetry, opacity, and discrimination. In this paper, we describe available technical solutions in three large areas that we consider to be of critical importance to achieve a human-centric AI: (1) privacy and data ownership; (2) accountability and transparency; and (3) fairness. We also highlight the criticality and urgency to engage multi-disciplinary teams of researchers, practitioners, policy makers, and citizens to co-develop and evaluate in the real-world algorithmic decision-making processes designed to maximize fairness, accountability, and transparency while respecting privacy. Algorithms; Artificial Intelligence; Computer Privacy
登录
查看更多内容
影响因子：
0.9
作者：
Amershi, Saleema;Cakmak, Maya;Kulesza, Todd
通讯作者：
Kulesza, Todd
DOI：
10.1109/tvcg.2019.2934262
发表时间：
2020-01-01
影响因子：
5.2
作者：
Ahn, Yongsu;Lin, Yu-Ru
通讯作者：
Lin, Yu-Ru
影响因子：
6.3
作者：
Berk, Richard;Heidari, Hoda;Roth, Aaron
通讯作者：
Roth, Aaron
影响因子：
3.9
作者：
Adadi, Amina;Berrada, Mohammed
通讯作者：
Berrada, Mohammed
影响因子：
1.9
作者：
Bakken, DE;Parameswaran, R;Palmer, TJ
通讯作者：
Palmer, TJ