Understanding and Improvisation of Human Perception Using Artificial Intelligence and Machine Learning

Abstract

The paper deals with the topic of improvising human perception using Artificial Intelligence to make human beings more efficient and productive. Understanding human perception takes a lot of non-verbal cues such as facial expressions, gesture, body language and tone of voice. Recent research has been made through facial coding and neurofeedback training. To analyse the probable response of a human being at certain expression of emotion, collection of data based on facial expression, vocal utterances, brainwave frequency under challenging condition ssuch as anger, contempt, disgust, fear, sadness and surprise is required. If we can formulate a nalgorithm based on the data collected, then not only it would be possible to calculate certain human action, it can also be possible to change or reduce the chances of success of a certain action. Modern advancements has introduced faster problem solving capability but it has some restrictions, which can be coped by the utilisation of human brain which has far better capabilities.The main concern of this paper is why to use AI and how it will revolutionize the mankind.

Explaining Explainable Artificial Intelligence: An integrative model of objective and subjective influences on XAI

“…The implementation of AI/ML in various contexts has proven to be beneficial in many ways including increasing productivity (Sharma et al, 2020), improving accuracy and performance in certain types of tasks (e.g., facial recognition; Medeiros et al, 2021), and providing the capability of completing tasks that humans perform poorly or can't perform at all (e.g., text mining from big data, language translation, etc. ; Suman et al, 2020). However, many of these systems have historically lacked transparency in their decision-making process, which has limited the user's acceptance and willingness to trust and use them (Miller, 2019).…”