TY - CHAP
T1 - Introduction
T2 - from generic AI to domain-aware decision systems
AU - Sohail, Shahab Saquib
AU - Soni, Arpita
AU - Mandavalli, Satish
AU - Kumar, Shantanu
AU - Kashyap, Gautam Siddharth
PY - 2027
Y1 - 2027
N2 - This chapter analyzes how Artificial Intelligence (AI) has evolved to be more domain-specific instead of a generic, data-driven system of decision making by combining contextual and expert knowledge. The early AI systems, although useful in pattern recognition and prediction, could not process complex information that was domain specific. As the supply of specialized data has increased and the need to make decisions with a high degree of reliability, hybrid methods, which integrate learning algorithms and domain constraints and expert reasoning have developed. This change has been tracked in the chapter, with deep learning and large-scale data processing playing a central role in the development of modern AI. It also notes that domain knowledge is more important in improving interpretability, robustness and reliability especially in high-stakes profession like healthcare, finance and engineering.
AB - This chapter analyzes how Artificial Intelligence (AI) has evolved to be more domain-specific instead of a generic, data-driven system of decision making by combining contextual and expert knowledge. The early AI systems, although useful in pattern recognition and prediction, could not process complex information that was domain specific. As the supply of specialized data has increased and the need to make decisions with a high degree of reliability, hybrid methods, which integrate learning algorithms and domain constraints and expert reasoning have developed. This change has been tracked in the chapter, with deep learning and large-scale data processing playing a central role in the development of modern AI. It also notes that domain knowledge is more important in improving interpretability, robustness and reliability especially in high-stakes profession like healthcare, finance and engineering.
UR - https://www.scopus.com/pages/publications/105044252368
UR - https://doi.org/10.1201/9781003774815
U2 - 10.1201/9781003774815-1
DO - 10.1201/9781003774815-1
M3 - Chapter
AN - SCOPUS:105044252368
SN - 9781041304845
SN - 9781041304838
T3 - Advances in Applied Mathematics
SP - 3
EP - 7
BT - AI for decision intelligence in critical systems
A2 - Sohail, Shahab Saquib
A2 - Soni, Arpita
A2 - Mandavalli, Satish
A2 - Kumar, Shantanu
A2 - Kashyap, Gautam Siddharth
PB - CRC Press, Taylor & Francis Group
CY - Boca Raton FL ; Abingdon, Oxon
ER -