reviewIEEE AccessJan 1, 2023GOLD OA

A Review of Trustworthy and Explainable Artificial Intelligence (XAI)

VCVinay ChamolaVHVikas HassijaARA. Razia SulthanaDGDebshishu GhoshDDDivyansh Dhingra

Birla Institute of Technology and Science, Pilani · National University of Singapore · +2 more institutions

Indexed incrossrefdoaj

Abstract

The advancement of Artificial Intelligence (AI) technology has accelerated the development of several systems that are elicited from it. This boom has made the systems vulnerable to security attacks and allows considerable bias in order to handle errors in the system. This puts humans at risk and leaves machines, robots, and data defenseless. Trustworthy AI (TAI) guarantees human value and the environment. In this paper, we present a comprehensive review of the state-of-the-art on how to build a Trustworthy and eXplainable AI, taking into account that AI is a black box with little insight into its underlying structure. The paper also discusses various TAI components, their corresponding bias, and inclinations…

Citation impact

270
total citations
FWCI
44.83
Percentile
100%
References
120
Citations per year

Authors

6

Topics & keywords

Topics
Keywords
  • Computer science
  • Trustworthiness
  • Boom
  • Order (exchange)
  • Computer security
  • Robot
  • Risk analysis (engineering)
  • Reliability (semiconductor)
UN Sustainable Development Goals
  • Peace, Justice and strong institutions
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