Artificial Intelligence, Corporate Social Responsibility, And Sustainable Governance: Integrating Ethical Principles, Open Innovation, And Accountability Mechanisms for Responsible AI in Global Enterprises

2026-03-08T12:46:52+00:00

The rapid diffusion of artificial intelligence (AI) across industries has intensified debates surrounding corporate social responsibility (CSR), sustainability, governance, and ethical accountability. While AI offers transformative potential for operational efficiency, innovation, and environmental optimization, it simultaneously introduces profound ethical, legal, and socio-political challenges. This study develops a comprehensive theoretical and empirical analysis of the intersection between AI governance and CSR, drawing exclusively on contemporary scholarship in business ethics, sustainability, information systems, and public policy. The research synthesizes insights from corporate sustainability frameworks, open innovation theory, AI ethics principles, auditing mechanisms, political economy perspectives, and sector-specific applications such as healthcare and financial services.

Using a qualitative meta-synthesis methodology grounded in systematic interpretive analysis, the study identifies key dimensions shaping responsible AI adoption in global enterprises: managerial attitudes toward standardization and social responsibility; open innovation as a pathway to shared value creation; political and economic tensions in AI-driven supply chains; ethical paradoxes in consumer markets; regulatory limitations in legal personhood; trust and accountability infrastructures; and the role of business intelligence in enabling transparent AI systems. The findings reveal that corporate AI governance remains fragmented, often driven by reputational risk mitigation rather than integrated sustainability strategies. Moreover, AI auditing practices face structural limitations that undermine meaningful accountability, while AI-driven “green” supply chain claims may obscure hidden environmental externalities.

The discussion advances a multidimensional governance model that integrates principle-based regulation, organizational culture, auditing reforms, stakeholder engagement, and business intelligence analytics. The study concludes that responsible AI must move beyond compliance-based ethics toward embedded sustainability-oriented governance structures that align technological innovation with societal expectations. Future research directions include empirical validation of integrated AI–CSR maturity frameworks and cross-jurisdictional regulatory comparisons.

Thе Systеm Is А Nоn-Trаditiоnаl Mаnuаl Mеthоdicаl Tооl Fоr Imprоving Studеnts’ Еnglish Lаnguаgе Skills

2026-03-12T00:50:55+00:00

The main goal of our study is to conduct a scientific analysis of the technologies and systems of exercises in them that serve to effectively organize traditional teaching in foreign languages. The tasks of our study are to study the skills of speaking in a foreign language with the help of exercises and exercises; to conduct a scientific analysis of the systems of exercises in the proposed technologies for the effective organization of traditional teaching; consists of developing proposals. An experiment based on our research was conducted among first-year students of Tashkent Perfect University. Our research ultimately provided an opportunity to conduct interviews with teachers about the methods, technologies, and approaches that were implemented. By completing the test exercises presented in the research experiment, philological students not only learn English, but also develop their professional skills as future teachers, such as adapting the exercises to suit language learners. During the pedagogical pilot-testing process, a questionnaire was conducted to find out students' opinions about the lessons organized on the basis of this technology and system of exercises. The results confirmed the high effectiveness of the methodology of dividing exercises into types such as motivation, testing and critical thinking and applying them in this order.

Journal of Social Sciences and Humanities Research Fundamentals

Artificial Intelligence, Corporate Social Responsibility, And Sustainable Governance: Integrating Ethical Principles, Open Innovation, And Accountability Mechanisms for Responsible AI in Global Enterprises

Thе Systеm Is А Nоn-Trаditiоnаl Mаnuаl Mеthоdicаl Tооl Fоr Imprоving Studеnts’ Еnglish Lаnguаgе Skills