New study highlights that generative AI systems—especially large language models like ChatGPT—tend to produce standardized, mainstream content, which can subtly narrow users’ worldviews and suppress diverse and nuanced perspectives. This isn't just a technical issue; it has real social consequences, from eroding cultural diversity to undermining collective memory and weakening democratic discourse. Existing AI governance frameworks, focused on principles like transparency or data security, don’t go far enough to address this “narrowing world” effect. To fill that gap, the article introduces “multiplicity” as a new principle for AI regulation, urging developers to design AI systems that expose users to a broader range of narratives, support diverse alternatives and encourage critical engagement so that AI can enrich, rather than limit, the human experience.

Researchers from the University of Maine are working to test and adapt scallop farming techniques to help grow the industry in the Gulf of Maine. This study analyzes the economic advantages and disadvantages of two common methods of scallop aquaculture: ear-hanging and lantern net techniques. Researchers used their results to develop a user-friendly application that compares the different costs and possibilities associated with starting scallop farms.