This chapter accomplishes the delineation of the humanized intelligent analytics in the contexts of sustainable finance and economic behaviors by incorporating the relationship among technology, ethics, and long-term economic resilience. It underscores the requirement to extemporize the sustainability of sustainable finance via strategies that forestall makeshift exploitation while harmonizing growth with the environmental, social, and governance (ESG) prototypes. The discourse accentuates intelligent analytics that may assuage financial instability, promote AI-induced ethical decision-making, and ensure intergenerational equality by integrating human-centered values into financial paradigms. Intelligent economic practices, bolstered by new information, can mitigate systemic risks while fostering equity and transparency. Our chapter scrutinizes analytics-dependent methodologies for portfolio optimization, risk persistency evaluation, and efficient portfolio formulation that demonstrate emerging instruments for risk mitigation and sustainable wealth generation. We project on the consensus finance to enhance decision-making, foster in-depth comprehension of economic behaviors, and ensure equitable stakeholder contemplations, and hence underscoring the human aspect of financial ecosystems. The associated future research focuses on amalgamating intelligence, behavioral economics, and sustainability principles for promoting more adaptive, inclusive, and ethically responsible finance. The chapter eventually advocates for the humanized intelligence analytics as a foundation for reconciling profitability with planetary and societal welfare.

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Humanized Intelligent Analytics in Sustainable Finance and Economic Behaviors: Conclusion and Future Research Directions

  • Sirshendu Arosh,
  • Samarjit Roy,
  • Palash Bairagi,
  • Siddhartha Bhattacharyya,
  • Debashis De

摘要

This chapter accomplishes the delineation of the humanized intelligent analytics in the contexts of sustainable finance and economic behaviors by incorporating the relationship among technology, ethics, and long-term economic resilience. It underscores the requirement to extemporize the sustainability of sustainable finance via strategies that forestall makeshift exploitation while harmonizing growth with the environmental, social, and governance (ESG) prototypes. The discourse accentuates intelligent analytics that may assuage financial instability, promote AI-induced ethical decision-making, and ensure intergenerational equality by integrating human-centered values into financial paradigms. Intelligent economic practices, bolstered by new information, can mitigate systemic risks while fostering equity and transparency. Our chapter scrutinizes analytics-dependent methodologies for portfolio optimization, risk persistency evaluation, and efficient portfolio formulation that demonstrate emerging instruments for risk mitigation and sustainable wealth generation. We project on the consensus finance to enhance decision-making, foster in-depth comprehension of economic behaviors, and ensure equitable stakeholder contemplations, and hence underscoring the human aspect of financial ecosystems. The associated future research focuses on amalgamating intelligence, behavioral economics, and sustainability principles for promoting more adaptive, inclusive, and ethically responsible finance. The chapter eventually advocates for the humanized intelligence analytics as a foundation for reconciling profitability with planetary and societal welfare.