Exploring the Role of Natural Language Processing in Enhancing ESG Practices and Assessing Mental Illness

Artificial intelligence (AI) is the field of study focused on creating intelligent machines. Within AI, machine learning (ML) is a subfield that focuses on the ability of machines to learn and adapt based on data input, without requiring explicit programming. In recent years, there has been a growing interest in applying AI to various industries and sectors, as it has the ability to process and analyze large amounts of data quickly and accurately. Following up on my article on AI for Social good- Part 1, I decided to write a part 2. This article will discuss mainly ESG and mental illness to explore the role of Natural Language Processing in Enhancing ESG Practices and Assessing Mental Illness. One area where AI can be particularly impactful is in the field of environmental, social, and governance (ESG) [1] initiatives.