Janina Boughey

The rapid development of generative Artificial Intelligence (AI) in the last few years has transformed the nature and pace of work in many sectors. Many of these transformations seem overwhelmingly positive. AI can, for instance, apparently improve the accuracy and speed of medical diagnosis and accelerate medical research. It can transcribe, translate, and caption meetings, improving accessibility and participation, and decreasing the workload involved in record-keeping. Other uses of AI have been controversial, for a host of reasons. For example, students’ use of Large Language Models (LLMs) to do their school and university assignments has led to widespread concerns about ‘cognitive surrender’ – that is, students failing to develop required knowledge or skills in research, writing, and critical thinking. LLMs have also drastically increased the workload of many courts, tribunals, and complaints-handling bodies. …