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With environmental, social, and corporate governance (ESG) becoming popular, social responsibility is more than an investment strategy. It has now become a way of life to operate a business. As AI and machine learning have become pervasive in business, their effect is being felt in the corporate social responsibility (CSR) arena. AI in CSR is a three-step process that consists of: understanding the CSR processes in the firm; determining the failure points; and applying AI technology for automation and insights. The criticism of CSR generally shows up in the following three broad categories: measurement issues, behavioral issues, and strategic and organizational issues. A firm can use machine learning to define and customize its ESG investment strategy. The way to conceptualize the model is to think about two processes—the social (or governance) value discovery process and the final machine learning model development process.
A Tue, study studied this question.