Optimizing Ethical Investment Decisions with Hybrid Heuristic

Utilizing Artificial Intelligence (AI) in ethical investing has seen rapid growth felicitating transparent corporate evaluations. Current assessments are done manually which have certain limitations and may tend to inaccuracy. This paper conducts an analysis of blind search and A* algorithm to evaluate their effectiveness in assessing reports for ethical investment opportunities. To identify and extract ethical terms fuzzy matching is used assisted by summarization tools providing a complete overview of reports to investors. The AI platform embedded with a customized heuristic search algorithm helps simplifying the decision-making process and generating insightful details for the right choices. After experimentation, results show that the time taken by heuristic search to display the relevant details is reduced significantly compared to the blind search with similar memory usage. Therefore, the proposed solution will transform the investing dynamics using AI, paving the way for more sustainable and socially responsible financial practices.