The Efficacy of AI Text Detection: A Critical Analysis of Current Technologies

The proliferation of sophisticated large language models (LLMs) has precipitated a crisis in academic and professional integrity, prompting the development of an array of AI detection tools designed to distinguish machine-generated text from human writing. Systems such as Turnitin AI, GPTZero, and Originality.ai purport to identify the statistical hallmarks

The Indispensable Role of Domain Expertise in Validating Generative AI Outputs

The allure of generative AI's apparent competence has led many researchers to venture into unfamiliar territories, applying these tools to domains where they lack the necessary expertise to critically evaluate the outputs. This phenomenon represents a fundamental departure from traditional research practices, where domain knowledge serves as the

Formulating Research Questions and Hypotheses: From Philosophical Foundations to AI-Assisted Approaches

The formulation of research questions and hypotheses constitutes a fundamental aspect of scientific inquiry, providing a structured pathway for investigating phenomena and advancing knowledge. Research questions articulate specific gaps or uncertainties within a domain, whereas hypotheses propose tentative explanations or predictions amenable to empirical scrutiny. These elements ensure methodological rigour

Exploring Generative AI Tools for Literature Review: ResearchRabbit, Litmaps, and Beyond

Literature reviews are foundational to academic research, enabling researchers to contextualise their work within existing knowledge. Historically, researchers relied on manual searches and citation chaining, a systematic but labour-intensive method of tracing references backward and forward. The advent of digital databases in the 1990s, such as Web of Science and