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A practical framework for AI disclosure in marketing

A practical framework for AI disclosure in marketing

How context, consequence and audience impact should guide when AI disclosure actually matters — and when it doesn't.

1/22/20265 хв. читання20 переглядів

When to disclose AI use in marketing

The use of AI technologies in marketing and advertising has become commonplace. However, it is not always clear when and how to inform the audience that certain decisions or recommendations are based on the use of artificial intelligence.

The article on MarTech proposes a practical approach to solving this issue. The key factors to consider are the context of AI use, the potential consequences for users, and the characteristics of the target audience.

Context and consequences

If the use of AI does not affect the user experience and does not pose any risks, there is no need for mandatory disclosure. For example, in the case of content personalization or optimization of advertising campaigns, the use of machine learning can often be kept under wraps.

But the situation changes if AI technologies are used to make decisions that can significantly impact the user. For example, in the case of automatic approval of loan applications or selection of job candidates, it is necessary to clearly inform people about the role of AI in these processes.

Considering the audience

Another important factor is the level of awareness and expectations of the audience. If we are talking about technically savvy users who expect the use of AI, then disclosure may be less critical. But for the mass audience, not familiar with the capabilities of artificial intelligence, transparency on this issue is more important.

Conclusion

Thus, when deciding on the need to disclose the use of AI in marketing, all factors must be carefully weighed, and action must be taken based on the principle of minimum necessary disclosure. This will allow maintaining the trust of the audience while not overloading it with unnecessary information.

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