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Scholarly literature on the Internationalization of Education has generated important theories, debates, and insights supporting in-depth understandings of the field, yet we lack comprehensive reviews exploring the design, implementation, and impact of practical approaches. The present review addresses this gap, mapping the literature on international curriculum design, identifying trends and themes across approaches and pedagogies while revealing limitations and lack of attention to issues that inhibit practice in the field. It highlights the privileging of “instrumental,” or quantifiable skills-based curricula, over “transformative” internationalization dedicated to social justice and equity, and observes important disconnects between theory and practice: publications in the field offer critical conceptualizations of what internationalized curricula should achieve and why but with little attention to specific content and teaching practice that would lead to achieving these objectives. The review further analyzes such disconnect in the literature dedicated to decolonial internationalizing pedagogies, while simultaneously illuminating how prevailing decolonial theories of international education erase and ignore parts of the world. It concludes by contending that approaches to the internationalization of curriculum would benefit from increased practical frameworks that could guide educators, practitioners, and students in crucial conversations at the intersections of social justice and International Education.

The age of artificial intelligence (AI) is already upon us. The rapid development of AI tools is facilitating sustainable development and its corollary social good. For AI dedicated to social good to be impactful, it has to be human-centred, striving to achieve inclusiveness, sustainable livelihoods and community well-being. In short, it offers major opportunities to holistically enhance peoples' lives in diverse areas: education, health care, food security, disaster reduction, smart cities, etc. However, ethical, unbiased and ‘secure-by-design’ algorithms that power AI are crucial to building trust in this technology. Civil society's engagement can hopefully drive the features and values that should be embedded in AI.

This chapter focuses on the societal benefits that AI can deliver. Our initiatives and decisions of today will fashion the ‘Social Good’ AI applications of tomorrow. Sustainable Development Goals (SDGs) being addressed are 2–4 and 10–11.

This study aims to study the impact of corporate governance (CG) versus ethical investment on the firm performance. It takes into account the firms of Bangladesh, India, and Pakistan for the purpose of the study. A composite variable of CG index and environmental, social, and governance (ESG) index is used to test the impact on the firm performance. Separate country wise and overall analysis is obtained. Regression analysis is used to obtain the results. Two measures of performance are used, one is return on assets (ROA) and other is Tobin Q. The findings of the study reveal that there is an impact of corporate governance index (CGI) on firm performance (overall and country wise) whereas ethical investment (EI) has an impact on firm performance when tested overall and no impact when checked for country wise results. The results further show that on country level, increase in CG measures may lead to positive results, but at the macro level, it may lower the performance. On the other hand, at the micro level, ethical finance may not show its impact; however, at the macro level, it has an impact. The study has implications for the investors and policymakers.