From Automation to Augmentation: Governing Artificial and Human Intelligence for Sustainable Employment and Leadership
This chapter examines how governance mechanisms can moderate the relationship between Artificial Intelligence and human intelligence within employment and leadership systems, with particular emphasis on sustainability-oriented organisational contexts and workforce transformation.
The chapter adopts a qualitative conceptual research approach, synthesising interdisciplinary literature across artificial intelligence, governance, human capital, and leadership. This is complemented by applied organisational insights from complex operating environments. A governance-led analytical perspective is used to assess how AI integration influences workforce structures, leadership accountability, and decision-making processes.
The analysis finds that ungoverned diffusion of AI amplifies skills displacement, organisational fragmentation, and erosion of leadership accountability. In contrast, governance-anchored integration enables AI to augment human judgement, strengthen leadership effectiveness, and promote sustainable employment outcomes. Governance emerges as the critical moderating mechanism shaping whether AI leads to substitution or augmentation of human capabilities.
The chapter advances an AI-human intelligence governance framework that positions human resource management as a central mechanism for aligning AI adoption with the United Nations Sustainable Development Goals. It offers transferable insights for policy-makers, organisational leaders and HR practitioners across sustainability-critical sectors.
Taqi, A. (2026): From Automation to Augmentation: Governing Artificial and Human Intelligence for Sustainable Employment and Leadership. In Ahmed, A. (Ed.): World Sustainable Development Outlook 2026, Vol. 22, pp.XX-XX. WASD: London, United Kingdom.