Main Theme:
“Artificial Intelligence Governance and Sustainable Economic Transformation: Ethical Challenges for Business, Management, and Accounting”
Subthemes:
- AI Governance Frameworks in Business and Management
Explores governance structures, standards, and best practices for overseeing the deployment of AI systems in organizations, including accountability mechanisms, board-level oversight, and risk management strategies.
- Ethical Challenges of AI in Accounting and Auditing
Examines the ethical implications of AI adoption in financial reporting, auditing, and assurance, including issues of algorithmic bias, transparency, auditor independence, and the reliability of AI-generated financial information.
- AI, Data Privacy, and Corporate Accountability
Discusses the challenges of protecting stakeholder data and ensuring accountability as organizations increasingly rely on AI-driven data analytics for strategic and operational decision-making.
- Policies and Regulations for Responsible AI Adoption
Reviews policies and regulatory frameworks across countries aimed at guiding the ethical and responsible use of AI, including regional and international regulatory approaches relevant to business and finance.
- AI-Driven Innovation for Sustainable Economic Transformation
Highlights how AI technologies—including machine learning, predictive analytics, and automation—can support sustainable business models, efficient resource management, and inclusive economic growth.
- Human Capital, Education, and the Future of Work in the AI Era
Explores the impact of AI on employment, skills development, and the changing role of professionals in business, management, and accounting, along with strategies for reskilling and upskilling the workforce.
- AI Governance and the Sustainable Development Goals (SDGs)
Examines the relationship between responsible AI governance and the achievement of the SDGs, particularly in relation to decent work and economic growth, industry innovation, and responsible consumption and production.