Affiliation:
1. University of Colorado Boulder, Cooperative Human-Robot Intelligence Laboratory (COHRINT), and Research and Engineering Center for Unmanned Vehicles (RECUV), Boulder, CO, USA
Abstract
People who design, use, and are affected by autonomous artificially intelligent agents want to be able to
trust
such agents—that is, to know that these agents will perform correctly, to understand the reasoning behind their actions, and to know how to use them appropriately. Many techniques have been devised to assess and influence human trust in artificially intelligent agents. However, these approaches are typically ad hoc and have not been formally related to each other or to formal trust models. This article presents a survey of
algorithmic assurances
, i.e., programmed components of agent operation that are expressly designed to calibrate user trust in artificially intelligent agents. Algorithmic assurances are first formally defined and classified from the perspective of formally modeled human-artificially intelligent agent trust relationships. Building on these definitions, a synthesis of research across communities such as machine learning, human-computer interaction, robotics, e-commerce, and others reveals that assurance algorithms naturally fall along a spectrum in terms of their impact on an agent’s core functionality, with seven notable classes ranging from integral assurances (which impact an agent’s core functionality) to supplemental assurances (which have no direct effect on agent performance). Common approaches within each of these classes are identified and discussed; benefits and drawbacks of different approaches are also investigated.
Funder
National Science Foundation
Northrop-Grumman Aerospace Systems
Publisher
Association for Computing Machinery (ACM)
Subject
General Computer Science,Theoretical Computer Science
Reference150 articles.
1. Multitarget localization on road networks with hidden Markov Rao--Blackwellized particle filters;Ahmed Nisar;J. Aerosp. Inf. Syst.,2017
Cited by
57 articles.
订阅此论文施引文献
订阅此论文施引文献,注册后可以免费订阅5篇论文的施引文献,订阅后可以查看论文全部施引文献