As architecture enters the era of algorithmic co-authorship, the profession must navigate a complex ethical terrain shaped by artificial intelligence (AI)meaning computer-based programs that can identify patterns, make decisions and produce language content (Russell & Norvig, 2020). This paper investigates the emerging challenges posed by AI tools in architectural design-ranging from data bias and cultural homogenization to authorship disruption and ecological concerns. Utilizing a qualitative approach integrating an inter-disciplinary literature review, five structured case studies and a synthesis of ethical theory, the paper critiques existing frameworks and proposes a multi-layered model titled S.C.A.L.E. (Situatedness, Co-Creation, Accountability, Localization, Eco systemic Responsibility) to guide ethical Al adoption in architecture. It concludes by offering strategic recommendations for designers, educators, policymakers, and developers to foster an inclusive and just architectural future. Creative41202687-10523Mohammad Faiyaz Alam