Generative AI is increasingly viewed as a creative assistant for marketers, significantly boosting productivity and enhancing creative output. A large percentage of marketers, approximately 90%, have adopted AI tools in their work, with many noting improvements in quality and efficiency. Ethical considerations, particularly regarding the training of AI models, are vital in maintaining transparency. Marketers must ensure AI is trained on reliably sourced data to uphold legal and ethical standards, avoiding gray areas in content ownership and copyright issues. Organizations like Fairly Trained assist in identifying compliant vendors.
An overwhelming majority of marketers are already embracing AI as an efficiency booster. One survey found nearly 90% of marketers have used generative AI tools at work, with 85% saying it has increased their productivity and improved the quality/quantity of creative output.
Two key considerations should be top of mind: how your AI is trained and how you disclose AI-generated content. Train (and use) AI with transparency in mind.
AI image models learn by example, so the data they're trained on plays a critical role in the quality and reliability of their outputs. While training on fully licensed data is often ideal,...
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