This article explores why English language teachers may have a unique advantage in AI prompt engineering. It examines how skills in applied linguistics, communication, instructional design, scaffolding, and discourse analysis can support effective interaction with Generative AI and large language models. The article also highlights emerging AI career opportunities for language professionals and the importance of collaboration between language experts, software engineers, and domain specialists.
Abstract Generative AI (GenAI) applications are non-deterministic. That is the same input can produce different outputs from run to run, and increasingly it is the prompt, not a line of code, that stands between an unpredictable model, and a system people can rely on. Despite thi…
Artificial intelligence has become a paradigmatic shift in education generally, while simultaneously offering individualized experiences in English language learning. A discussion is presented on how AI is being applied in personalized English language learning, while particular…
Artificial Intelligence (AI) is transforming global communication and education, but its inherent linguistic and cultural biases present challenges that must be addressed in pre-service teacher education. Countries such as China and Japan are developing their own AI models, motiv…
Testing the Transition from AI Advantage to Practical Dependence: A Minimal Knowledge-Work Pilot Protocol presents a preregistration-ready experimental design for testing two early mechanisms through which a local generative-AI advantage might contribute to practical dependence i…
The integration of Large Language Models into enterprise network architectures has introduced severe cybersecurity vulnerabilities, most notably adversarial prompt injection and zero-day data extraction attacks. Traditional network security protocols are fundamentally ill-equippe…
Generative AI technologies are increasingly acquiring characteristics of interactive cognitive agents. These systems have considerable potential to augment learning and creativity, but they also pose novel challenges to the human mind. Continuous reliance on generative AI may res…