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Post-Thesis Era: Reinventing Research Degrees in the Age of Artificial Intelligence examines how AI undermines traditional research degree assessment. As AI accelerates knowledge production, conventional markers of scholarly competence-time, volume, and written output-no longer reliably indicate expertise.
Rather than treating AI as academic misconduct, this book argues the challenge is fundamentally epistemic. Research degrees were designed for scarcity conditions that no longer exist. When execution becomes automated, judgment, responsibility, and intellectual authority become the true markers of advanced scholarship.
The book traces the thesis's historical logic, analyzes the collapse of academic time, and shows why output-based assessment fails in AI-mediated environments. It then proposes insight-based evaluation models emphasizing decision-making, epistemic responsibility, and ethical judgment.
Written for academics, doctoral candidates, and higher education leaders, Post-Thesis Era offers a framework for redesigning research credentials to remain credible in the age of AI.
