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  "documentTitle": "2025 The AI Dossier",
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      "text": "Robust and reliable: For AI generated marketing to be valuable, organizations must be able to rely on the validity of the output. AI can be prone to hallucinations, and when tasked with creating marketing that touts one product over another, there is a risk the model will return false statements. This injects potential regulatory violations that could result in fines and other penalties. To shore up reliability with AI, outputs should be validated by a human with the subject matter understanding to do so.",
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      "text": "Fair and impartial: Datasets may contain latent bias of which the organization is unaware. This could be due to how the data was acquired, recorded, and curated, and the challenge is compounded when operating in multiple geographies. Organizations should consider the datasets used to train and fuel generative AI systems and whether unknown bias could lead to marketing materials that fall short because they fail to reflect important geographical and cultural differences.",
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