Artificial Life Intelligence for Individual and Societal Accomplishment

This paper explores the potential of the rapidly evolving fields of Natural Language Processing and Affective Computing and proposes future applications that combine the power of both fields to assist individuals in their personal and collective accomplishment. It studies the latest developments in the field of Emotion Detection and Recognition from facial expression, voice and text and discusses the shortcomings in current analysis systems. Human subjectivity is key to every choice, decision and act of individuals, and a comprehensive knowledge of human psychology is essential for effective analysis. As Emotional AI transcends the physical parameters and moves closer to understanding the emotional and mental human being in future, and Deep Learning enables greater comprehension of unstructured textual and audio-visual data, Cognitive Computing can employ big data processing to assist humans in acquiring scholarship, anticipating social trends and even understanding life. The paper concludes with a proposal for a revolutionary field of Artificial Life Intelligence that can promote universal human welfare.