THE ROLE OF PROBABILISTIC AI IN BUILDING TRUSTWORTHY EDGE–CLOUD INTELLIGENCE

Abstract

Background: The transformation of the edge-cloud computing has helped the smart systems to be applicable in dynamic real world environments. Nonetheless, some uncertainties like noisy data, variability of network and incomplete information are inherent, the reliability and credibility of traditional deterministic artificial intelligence models is also doubted, since most of them give overconfident predictions without quantifying their constraints. Objective: The paper would explain the application of probabilistic artificial intelligence to make edge cloud intelligence systems more confident. Specifically, it examines the opinions of the experts on its contribution to the key features like reliability, robustness, resilience, explainability and what it means in terms of its future adoption. Methodology: A survey-based, quantitative research design was used. The information was gathered about the professionals and researchers in the field of artificial intelligence, data science, etc. using a structured questionnaire. The instrument used a five-point Likert scale and covered the aspects of trustworthiness, system functioning, problems, and prospects. The descriptive statistics were used to analyse the 250 responses.