Unlocking Hidden Truths: Why Ignoring Scientific Content Could Cost Us Everything
That distinction matters more as AI becomes embedded in routine workflows, particularly within corporate and academic settings. Researchers and analysts are already using AI tools to interact with third-party content in ways that go beyond traditional reading and citation. The permissions to use works in connection with a variety of AI-related activities may require rights to be acquired from multiple rights-holders and publishers. The result is not just legal uncertainty. It is operational friction. Organisations may want to scale AI use, but they are doing so on top of content environments that vary in licensing terms, fee structures, and administrative overhead costs. This makes it increasingly important for organisations to educate their researchers on the importance of copyright compliance and take steps to incorporate at every stage of their work, not just as an administrative afterthought.
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