Human-AI Decision Architectures in Green Procurement and Planning

Artificial intelligence is transforming organizational decision-making, yet its application in procurement, especially green procurement and planning, remains emerging. This chapter explores Human-AI decision architectures that merge human expertise with intelligent automation to achieve environmental, social, and economic sustainability. Using a mixed-method exploratory design, literature review, AI-platform analysis, and stakeholder consultations, it conceptualizes AI's role across procurement stages, from need assessment to post-award evaluation. AI enhances sustainability through life-cycle data analytics and supplier risk prediction, while human oversight ensures ethical reasoning and contextual judgment. Key factors include data quality, explainability, and organizational alignment. Integrating academic and industry insights, the chapter proposes a framework for Human-AI collaboration to advance green procurement goals, minimize environmental impact, and build sustainable value chains, offering implications to close the gap between AI innovation and sustainable adoption.