Artificial intelligence is no longer a “future idea” for STM (Scientific, Technical, and Medical) publishers. It’s already here — helping with manuscript screening, language editing, metadata tagging, peer review support, and content classification. But with these benefits comes a serious responsibility. AI can speed things up, but without proper AI risk and quality control , it can also introduce errors, bias, compliance issues, and reputational damage. For STM publishers operating in the UK, USA, India, and global markets, the conversation has shifted from “Should we use AI?” to “How do we use AI safely and responsibly?” That’s where AI QC workflows and content validation become critical. Why AI Risk Matters in STM Publishing STM content isn’t casual reading. It directly impacts research integrity, healthcare decisions, academic credibility, and public trust. Even a small AI-generated error can have serious consequences. Some common AI-related risks STM publishers face includ...
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