×
How marketers can tackle transparency challenges in AI-driven ads
Written by
Published on
Join our daily newsletter for breaking news, product launches and deals, research breakdowns, and other industry-leading AI coverage
Join Now

The rise of AI in advertising: Artificial intelligence (AI) has become a significant force in the advertising and marketing industry, with generative AI (Gen AI) emerging as a top priority for many executives in the Asia-Pacific region.

  • A survey reveals that Gen AI is among the top three business priorities for 83% of APAC C-suite executives, highlighting its growing importance in the industry.
  • Consumers are becoming more discerning, with 50% reportedly able to identify AI-generated copy, indicating a need for transparency in AI-generated advertising.

The transparency debate: Marketers are divided on whether the use of AI in advertising should be explicitly declared, with arguments for both transparency and discretion.

  • Nathan Petralia, former MD of Merkle Hong Kong, advocates for declaring AI-generated ads to foster trust and allow audiences to make informed judgments.
  • Jeffry Gamble, chief creative officer of GBA and dentsu Hong Kong, suggests a “need to know” approach, questioning whether consumers truly care about the source of ad creation.

Consumer trust and AI: Studies show mixed reactions from consumers regarding their trust in organizations using AI, highlighting the complexity of the issue.

  • A Vodafone Business study found that six in 10 consumers in APAC trust organizations the same or more when Gen AI is used.
  • However, 39% of APAC customers reported that the use of Gen AI would decrease their trust in an organization.

The rise of ‘AI washing’: The proliferation of AI in content creation has led to concerns about authenticity and the need for proper guidelines.

  • Aditya Kilpady, regional strategy director of UM APAC, warns of ‘AI washing,’ where brands use AI to generate seemingly authentic but manipulated content.
  • There are calls for policy guidance to disclose the use of AI-generated content, similar to the “paid partnership” tag used in influencer campaigns.

Ethical considerations and brand initiatives: Some brands are taking proactive steps to address concerns about AI-generated content in advertising.

  • Dove has pledged never to use AI to distort women’s images in advertising, setting an example for ethical AI use in the industry.
  • Suggestions for accountability include implementing watermarks on AI-generated content in influencer campaigns.

Potential for regulation: The need for demarcation of AI-led ads may lead to industry standards or regulatory measures.

  • If consumer demand for clarity in distinguishing AI from human-created content grows, regulatory bodies or industry standards may evolve to address these concerns.
  • The implementation of such standards could help maintain ethical practices in advertising, especially for targeted or hyper-personalized content.

Stakeholder responsibility: Experts suggest that transparency in AI-generated advertising should be a collective effort involving multiple industry players.

  • Advertising and marketing bodies should lead in creating guidelines and best practices for AI use in advertising.
  • Regulatory authorities may need to establish clear rules for transparency and consumer protection.
  • Brands and advertisers should prioritize transparency and communicate clearly about AI use in their marketing efforts.
  • Technology providers developing AI tools for ad creation should introduce features that allow for easy identification of AI-generated content.

Looking ahead: Balancing innovation and transparency: As AI continues to reshape the advertising landscape, the industry faces the challenge of leveraging new technologies while maintaining consumer trust and ethical standards.

  • The ongoing debate about transparency in AI-generated ads reflects the broader conversation about the role of AI in society and business.
  • As AI technology evolves, the advertising industry will need to adapt its practices and potentially develop new standards to address emerging ethical and practical concerns.
  • The future of AI in advertising will likely depend on finding a balance between innovation, effectiveness, and maintaining consumer trust through appropriate levels of transparency.
How marketers can navigate transparency in AI-generated ads

Recent News

Social network Bluesky says it won’t train AI on user posts

As social media platforms debate AI training practices, Bluesky stakes out a pro-creator stance by pledging not to use user content for generative AI.

New research explores how cutting-edge AI may advance quantum computing

AI is being leveraged to address key challenges in quantum computing, from hardware design to error correction.

Navigating the ethical minefield of AI-powered customer segmentation

AI-driven customer segmentation provides deeper insights into consumer behavior, but raises concerns about privacy and potential bias.