Advances in computational intelligence and robotics book series

The legal strategy that incorporates cutting-edge concepts like artificial intelligence and green finance with established laws like the Insolvency and Bankruptcy Code and the Real Estate (Regulation and Development) Act (RERA). It need to develop long-term solutions since real estate projects are at a standstill. Money issues, regulation infractions, or developer bankruptcies cause many projects…

Artificial intelligence is particularly causing a rapid revitalization in automation of sustainability practices, especially in the aspects of environmental, social and governance (ESG) regulation and green-finance law. Using machine learning and natural language processing and predictive analytics, AI helps to conduct the efficient aggregation of data of unstructured origins, real-time monitorin…

In light of the widespread use of AI Large Language Model chatbots such as ChatGPT-5, this article summarizes eight use cases of chatbots in the discipline of Evolutionary Culturology to address science education. The custom GPTs created in ChatGPT-4 and 5 include: (1) The Evolutionary Culturology Tutor GPT, (2) The Evolutionary Culturology Popper Quote Explainer GPT, (3) The Evolutionary Culturo…

A key pillar of green investment has become regulatory compliance, where financial institutions are required to fund a portfolio in a way that reflects a sustainability requirement, as well as exhibit a clearly proven impact on the environment. The purpose of disclosure is entailed in such elements as a global frameworks, namely a formal regulation such as the EU Sustainable Finance Disclosure Re…

The emerging breakthrough in technology in artificial intelligence and automation technologies present incredible opportunities to drive the truly green investment in India specifically in the spheres of renewable energy, sustainable finance and climate-resilient infrastructure. These tools will facilitate faster allocation of resources to environmentally friendly projects by reducing the risk of…

The real estate sector has particular challenges when someone files for bankruptcy. The process might take a long time if it is not halted immediately, and production assets gradually lose value over time. Since the cost of bankruptcy with real estate has been declining in all regions for some time and is generally agreed, it investigate the relationship between green finance and artificial intel…

The application of AI in green finance has enormous potential to tackle climate change, but its effect would be determined by the strength and integrity of governance mechanisms as well as well-designed incentives. Good policy serves to set the bar but also incentives and responsible use in finance in AI applications. In the absence of such governance, exposures including algorithmic discriminati…

The rapid adoption of artificial intelligence (AI) in educational institutions has reshaped the pedagogical, administrative, and research environments of higher education institutions worldwide. The ‘generative language models', ‘automated grading tools', ‘predictive analytics', and AI-based institutional ‘decision-support systems; have become inseparable parts of academic ecosystems. Although th…

Generative AI (GAI) is fundamentally altering the academic authorship and research ethics landscape by sourcing multiple long-held beliefs of originality, intellectual labor, and academic accountability. The rise of tools such as ChatGPT, Gemini, and Claude in the writing, analysis, and creation of knowledge creates an urgent need for Higher Education to redefine the meaning of ethical authorship…

There are significant changes occur when financial services, artificial intelligence and environmental sustainability are combined. We should no longer consider it a textbook concept. Everyone has come together as a result of the national discussions regarding the potential of AI in light of social and environmental issues. Only by discussing these issues in public will we be able to put yesterda…

Ethical AI means that technology should be fair, open, accountable, and include everyone. This is to encourage technology-driven development, even though it may not fix existing inequalities. In finance, responsible AI means better ways to find fraud, identify risk, make sure rules are followed, and come up with long-term investment plans. In business, it helps with better supply chain management…

AI is becoming more common in financial markets. It has transformed how risks are detected, how fraud is stopped, how trading across borders is done, and how laws are obeyed. But technology also brings up new problems with rules, ethics, and how things are run. Finance is global, and global systems need governance institutions that are transnational and that make sure that everyone is treated fai…

The notion of human-centered automation of sustainable finance is a paradigm shift in which artificial intelligence and automated systems are instituted, implemented and regulated with people at the heart of the systemic nature-people-values-needs-agency-and-well-being and the pure efficiency and maximization of profits are considered peripheral to all other human considerations. In contrast to c…

Generative artificial intelligence (Gen AI) holds significant potential in the field of innovative design creation, offering non-trivial solutions based on big data analysis. However, its ability to improve design variants incrementally is limited. Gen AI struggles to interpret spatial parameters and make precise modifications, such as changing shapes or adding specific details. These limitations…

The rapid rise of generative artificial intelligence (GenAI) has transformed higher education, reshaping how students learn, how faculty assess, and how institutions uphold academic integrity. This chapter examines the complex interplay between GenAI adoption, evolving forms of academic misconduct, and the limitations of traditional integrity frameworks. While GenAI enhances creativity, feedback,…

This chapter explores the evolving role of professors in higher education as classrooms increasingly lean on artificial intelligence. While AI tools promise efficiency, personalization, and accessibility, they also risk diminishing the professor's central role as mentor, guide, and moral compass. The text reflects on how faculty can reposition themselves not as dispensable transmitters of informa…

AI in Education (AIEd) influences education, performance of students, and poses ethical concerns. The research evaluates such frameworks as AI-directed and AI-empowered learning, focusing on the merging of AI with education theories. An important objective is to adopt a human AI approach with the adoption of agentic AI, which will support innovation and tailored practices. Scholars are promoting …

Green investments and artificial intelligence have never been more profitable. Global government, the economy, and the environment are all changing as a result of the two forces. Two factors the environment and technologies are altering the balance of power and the way nations engage with one another. AI geopolitics and green investment as a whole which was not just motivated by money or new tech…

Artificial Intelligence (AI) is reshaping higher education by transforming teaching, research, and governance. This chapter examines the epistemic, ethical, and institutional implications of rapid AI adoption, showing that its influence extends beyond technological efficiency. Using a critical integrative review, it analyzes how AI-driven personalization, automated research processes, and algorit…

This chapter addresses the environmental, social, and governance (ESG) principles in order to address these global issues and promote more sustainable behaviors. The technology that has received a lot of attention and is being used in many different sectors is artificial intelligence. ESG must be included into AI if we want to reduce risks, hold it responsible and make it contribute to ethical in…