Some Challenges and Solutions in Data-Driven AI

Research output: Chapters, Conference Papers, Creative and Literary WorksRGC 12 - Chapter in an edited book (Author)peer-review

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Detail(s)

Original languageEnglish
Title of host publicationComputer Vision
Subtitle of host publicationChallenges, Trends, and Opportunities
EditorsMd Atiqur Rahman Ahad, Upal Mahbub, Matthew Turk, Richard Hartley
Place of PublicationNew York
PublisherChapman and Hall/CRC
Chapter1
Pages1-17
ISBN (electronic)9781003328957
ISBN (print)9781032317052, 9781032358437
Publication statusPublished - 2025

Publication series

NameChapman & Hall/CRC Computer Vision

Abstract

Owing to the availability of massive amounts of multimodal data and the reemergence of neural network-based methods, data-driven artificial intelligence (AI) appears to be on the verge of becoming the dominant technology of the future. While this development has basically shaken many established fields such as computer vision, defense, medicine, natural language processing, robotics, and smart transportation, data-driven AI has also raised many concerns about robustness, vulnerability to adversarial attacks, and bias. In this chapter, we discuss the challenges posed by these issues and present a summary of recent research efforts that address them.

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Research Unit(s) information for this publication is provided by the author(s) concerned.

Citation Format(s)

Some Challenges and Solutions in Data-Driven AI. / Chellappa, Rama; Liu, Jiang; Lau, Chun Pong et al.
Computer Vision: Challenges, Trends, and Opportunities. ed. / Md Atiqur Rahman Ahad; Upal Mahbub; Matthew Turk; Richard Hartley. New York: Chapman and Hall/CRC, 2025. p. 1-17 (Chapman & Hall/CRC Computer Vision).

Research output: Chapters, Conference Papers, Creative and Literary WorksRGC 12 - Chapter in an edited book (Author)peer-review