Bhoumik, K. (Accepted: 2026) Consumer Responses to AI- vs. Human-Created Misrepresentative Ads: Forgiving the Algorithm? Journal of Advertising Research. ISSN: 0021-8499 (In Press)
Abstract
As brands increasingly use generative AI for advertising, ethical challenges arise when such ads misrepresent marginalized communities. Across three studies, we demonstrate that consumers are less forgiving of AI-created misrepresentative ads than human-created ones because AI ads are perceived as involving less effort, reducing ad attitudes and forgiveness. Extending attribution theory, we show perceived effort becomes the primary responsibility cue when the proximate creator lacks moral agency yet institutional accountability persists. This mechanism operates even when consumers' personal identities are implicated (LGBTQIA+ participants evaluating Pride ads). However, strong brand reputation buffers these effects, informing responsible AI integration in advertising.
Metadata
| Item Type: | Article |
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| Authors/Creators: |
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| Copyright, Publisher and Additional Information: | This is an author produced version of an article accepted for publication in the Journal of Advertising Research, made available via the University of Leeds Research Outputs Policy under the terms of the Creative Commons Attribution License (CC-BY), which permits unrestricted use, distribution and reproduction in any medium, provided the original work is properly cited. |
| Keywords: | Artificial Intelligence, Advertising Ethics, Consumer Forgiveness, Perceived Effort, Brand Reputation |
| Dates: |
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| Institution: | The University of Leeds |
| Academic Units: | The University of Leeds > Faculty of Business (Leeds) > Marketing Division (LUBS) |
| Date Deposited: | 22 May 2026 14:24 |
| Last Modified: | 22 May 2026 17:46 |
| Status: | In Press |
| Publisher: | Taylor & Francis |
| Open Archives Initiative ID (OAI ID): | oai:eprints.whiterose.ac.uk:241303 |
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