A Comprehensive Review of Trustworthy, Ethical, and Explainable Computer Vision Advancements in Online Social Media

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Author(s): Fahim Anzum (University of Calgary, Canada), Ashratuz Zavin Asha (University of Calgary, Canada), Lily Dey (University of Calgary, Canada), Artemy Gavrilov (University of Calgary, Canada), Fariha Iffath (University of Calgary, Canada), Abu Quwsar Ohi (University of Calgary, Canada), Liam Pond (University of Calgary, Canada), Md. Shopon (University of Calgary, Canada)and Marina L. Gavrilova (University of Calgary, Canada)
Copyright: 2024
Pages: 46
Source title: Global Perspectives on the Applications of Computer Vision in Cybersecurity
Source Author(s)/Editor(s): Franklin Tchakounté (University of Ngaoundere, Cameroon)and Marcellin Atemkeng (Rhodes University, South Africa)
DOI: 10.4018/978-1-6684-8127-1.ch001

Keywords: Computer Science & IT / Computer Vision & Image Processing / Cyber and Network Security / Information Science Reference

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Abstract

Responsible, ethical, and trustworthy decision-making powered by the new generation of artificial intelligence (AI) and deep learning (DL) recently emerged as one of the key societal challenges. This chapter provides a comprehensive review of state-of-the-art methods that emerged very recently in the domain of trustworthiness, fairness, and authenticity of online social media. Furthermore, this chapter discusses open problems, provides examples of other application domains in the realm of computer vision and intelligent computing, recommends bias mitigation strategies, and provides insights on the future developments in this key research domain.

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A Comprehensive Review of Trustworthy, Ethical, and Explainable Computer Vision Advancements in Online Social Media

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