Empathy in the Age of Artificial Intelligence: Effect of AI on Cognitive, Emotional, and Compassionate Empathy
Title:
Empathy in the Age of Artificial Intelligence
Subtitle: Effect of AI on Cognitive, Emotional, and Compassionate Empathy
Subject Classification:
Artificial Intelligence, Society and Culture, Technology
BIC Classification: UYQ, TB, JF
BISAC Classification:
SOC037000, TEC052000, COM004000
Binding:
Hardback, eBook
Planned publication date:
Feb 2025
ISBN (Hardback):
978-1-80441-809-3
ISBN (eBook):
978-1-80441-810-9
e-books available for libraries from Proquest and EBSCO with non-institutional availability from GooglePlay
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Description
AI is changing the way we work, live, and interact with each other. One of the biggest benefits of AI is its capability to increase our understanding of others’ feelings. It can lead to a better society, workplace, environment, and economy. Use of AI can guide us to less violence, more transparency, and better utilization of diversity.
Empathy can be of three types – cognitive, emotional, and compassionate. Cognitive empathy is the soft skill that enables you to understand the perspective of others including their thoughts and feelings. Emotional empathy is the ability to experience those feelings yourself. Compassionate empathy involves you to look for ways to help others in mitigating the adverse feelings.
There are three types of AI – analytical, predictive, and generative. In this book we explore how the three types of AI can help augment our empathy. This is not a technical book on AI; it provides a nontechnical perspective how AI can make a better society, workplace, environment, and economy by augmenting our empathy.
Biography
Author(s): Sam Adhikari is Head, AI driven SaaS Products, Sysoft, New Jersey, USA. He has 30+ years of experience in technologies related to AI, Data Science, and Business Intelligence. He earned a Master's Degree in AI & Clinical Data Science from Stanford university. He also earned additional Marsters Degrees in Bioengineering, and Aerospace Engineering from Temple University and City University of NY. At Stanford University he performed research on using AI and video-based eye tracking for neuropsychiatric assessment.
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