Computational Artificial Intelligence (AI) is having a transformational impact in various domains of human endeavour and social experience, including anthropological research, teaching and applied practice.
Advancements in computational methods such as unsupervised machine learning, neural networks, natural language processing, affective computing and generative pre-trained transformers (GPT) pose challenges to our conceptualisation of intelligence, and what it means to be human. At the same time, AI-based tools have become part of our everyday experience, through their incorporation within software and devices we use daily. AI-based tools offer us respite from routine aspects of our work and augment our human capacity for pattern recognition, opening possibilities for new research methods, and novel and rapid qualitative insights. In teaching, AI offers innovative approaches to pedagogy and learning, such as personalized education and automated assessment.
These advancements pose risks and challenges, including ethical concerns, problems of bias, and a risk of devaluing the up-close, nuanced, insights that arise from slower, interactional research methods.
We invite papers discussing both the opportunities AI presents for enriching anthropological practice and how anthropologists might address the critical philosophical, ethical, societal and methodological challenges it gives rise to.
(ChatGPT contributed approximately ten percent of the conceptualisation of this abstract.)