Forging Trust

Author:

Damodaran Dhinakaran1ORCID,Damodaran Selvaraj2,Thiyagarajan M.1,Srinivasan L.3

Affiliation:

1. Vel Tech Rangarajan Dr. Sagunthala R&D Institute of Science and Technology, India

2. Panimalar Engineering College, India

3. Dr. N.G.P. Institute of Technology, India

Abstract

This chapter delves into the dynamic integration of artificial intelligence (AI) and machine learning (ML) in redefining trust in the digital age. Traditional trust-building methods encounter transformation through the capabilities of AI and ML, presenting both challenges and opportunities. The exploration encompasses ethical considerations in trustworthy algorithms, transparency in automated decision systems, and the crucial role of data in risk prediction. It delves into the reshaping of security and privacy paradigms, addressing bias, and fostering collaboration between humans and machines in trust manufacturing. The chapter also investigates the role of emotional intelligence in AI-enabled trust. In presenting a comprehensive overview, it contributes to the discourse on potential future scenarios where AI and ML revolutionize the establishment and scaling of trust in an interconnected digital landscape.

Publisher

IGI Global

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