TY - CHAP
T1 - Some Challenges and Solutions in Data-Driven AI
AU - Chellappa, Rama
AU - Liu, Jiang
AU - Lau, Chun Pong
AU - Dhar, Prithviraj
N1 - Research Unit(s) information for this publication is provided by the author(s) concerned.
PY - 2025
Y1 - 2025
N2 - 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.
AB - 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.
U2 - 10.1201/9781003328957-1
DO - 10.1201/9781003328957-1
M3 - RGC 12 - Chapter in an edited book (Author)
SN - 9781032317052
SN - 9781032358437
T3 - Chapman & Hall/CRC Computer Vision
SP - 1
EP - 17
BT - Computer Vision
A2 - Ahad, Md Atiqur Rahman
A2 - Mahbub, Upal
A2 - Turk, Matthew
A2 - Hartley, Richard
PB - Chapman and Hall/CRC
CY - New York
ER -