May 27, 2025 | Mindy Weinstein | SEO |

The Ethical Use of AI in Digital Marketing

Artificial intelligence is the next frontier in digital marketing, poised to disrupt operations across numerous industries. Already, 73 percent of U.S. companies have integrated AI into their business (PwC, 2023). AI-powered prompts, assistants, and software programs can unlock insights into target audience analysis, expedite content production, and personalize messages to individual consumers. Despite the potential benefits, using these tools presents ethical concerns that can undermine your marketing goals and brand image. Learn more about the current AI marketing landscape, how to address ethical issues in marketing automation, and how the ethical use of AI informs our process.

According to a recent survey, 69.1% of marketers use AI in their marketing operations. At the same time, 34.1% of marketers reported significant improvements across various outcomes, and 17.5% experienced setbacks when using AI (Geyser, 2023). These tools are not without flaws. Each AI relies on a repository of data from various sources that aren’t always transparent, which limits transparency. They operate with varying safeguards in place to prevent the spread of misinformation. However, robust AI regulations have yet to be implemented, leaving users uncertain about the quality of the content or data produced.

Without industry-wide guidelines for AI ethics in digital marketing, it’s up to the user or publisher to ensure that their content features reliable, trustworthy information and that their processes don’t violate the consumer’s privacy.

 

Understanding AI Ethics in Marketing

Rather than adhering to strict moral codes, ethics in the 20th Century were shaped by an individual’s effect on their community and society. Ethics in marketing focus on increasing transparency, upholding consumer autonomy, building trust, and promoting public wellness (Hari et al., 2024). These issues often conflict with selling products to individuals for profit, leaving marketers to balance their morals against their economic interests. 

Ethics in the 21st Century may be shaped by how individuals and corporations use artificial intelligence. AI in advertising may only cloud these considerations by changing how marketers reach and engage with consumers. The concerns surrounding AI in digital marketing include:

Data Privacy and Security

How data is stored, accessed, and shared is a primary concern for anyone using this technology. Consumers need to know their data is safe and not used without their consent. AI models often don’t disclose their sources and rely on large pools of data from across the web. The technology or marketing agency should adhere to the latest digital privacy laws, including the General Data Protection Regulation (GDPR) and the California Consumer Privacy Act (CCPA).

Algorithmic Bias and Fairness

Algorithms make decisions using data that’s not always accurate, inclusive, or fair. The result may be based on poor-quality sources or misinformation. It’s essential to consider the validity of AI-produced content or outcomes to determine if they are based on sound, well-researched sources. These considerations help users avoid unconsciously perpetuating bias.

Transparency and Accountability

Publishers must take responsibility for everything they publish, even if the content was written in part or entirely by AI. Marketers should be upfront about how and when they use artificial intelligence and their actions to prevent the spread of bias. Consumers want to know how messages are tailored to them and whether their personal information was used to target them in a campaign.

Balancing Automation with Human Values

Marketing is ultimately about connecting to real human beings. Marketers need to reintegrate the human touch into AI content writing services and automated decision-making by personally reviewing outcomes to ensure that they genuinely resonate with consumers. AI models often take a one-size-fits-all approach that fails to consider a person’s unique situation. Bringing humanity to marketing improves the company-client relationship and instills trust in the viewer. Ideally, AI can enhance personalization by making recommendations based on user preferences. The tailoring app Stitch Fix recently integrated a feature that uses AI to adjust the products suggested in each customer’s feed.

Developing Ethical AI Frameworks

Without regulation, it’s up to each organization to build a set of standards for the ethical use of AI that apply across departments and applications. Appointing an ethical adviser with a background in AI development can help guide the company through this transition. 

The guidelines should be unique and align with the brand’s message, mission, and values. This effort requires cross-departmental collaboration, with experts from various fields, including engineers, marketing, legal, sales, and consumer advocates, to create the framework. Agreeing on an approach will help employees understand how these tools impact their roles, enabling them to reap the full benefits of marketing automation. 

Considering today’s rapidly changing environment, it may not be realistic for every department to grasp complex issues such as data privacy fully; however, incorporating this thinking into operations will increase awareness around these issues. 

Real-World Scenarios: Ethical AI in Action

Companies are taking different approaches to addressing these issues. IBM is helping establish a regulatory framework for generative AI in the Philippines and is raising awareness of the need for universal regulations.

Facebook, now Meta, made the mistake of selling data to Cambridge Analytica without user consent during the 2016 presidential election. The firm then used the data in an AI system to influence political campaigns, raising concerns about undue influence. 

Imagine being diagnosed with a life-changing condition that limits mobility, only to receive an ad from a company promoting a wheelchair or incontinence pads. You may wonder whether the company can access your medical records and why they believe you may be interested in these products.

Future Outlook: Ethical AI in Evolving Digital Landscapes

The AI landscape is evolving rapidly as the models that power this technology become increasingly sophisticated. The potential for AI in advertising is nearly limitless and is likely to automate more processes and tasks in the future. New technologies will only access more data amid further consolidation, allowing marketers to unlock more insights into their preferences, needs, and psychological intentions. Marketing professionals can maintain their morals and keep campaigns human while benefiting from automation by actively reviewing materials and decisions regardless of how they were made.

Conclusion

The ethical use of AI in marketing is crucial for maintaining consumer trust and upholding organizational values. This technology can remove the human qualities that make marketing personal, while raising privacy concerns that can damage the company’s reputation. Marketers may need to engineer new solutions to target consumers in the digital age, but their values and the brand name shouldn’t suffer.  

Contact Market Mindshift to learn more about how we utilize AI and SEO in our digital marketing services and the key factors your organization should consider when implementing artificial intelligence. 

FAQs

What are the key ethical concerns when using AI in digital marketing?

Using AI in digital marketing can lead to privacy concerns, unintentional bias, and copyright issues if the content relies too heavily on existing material. 

How can businesses ensure their AI tools are free from bias?

Companies should research how the AI tool stores and accesses data, the sources used, and the safeguards to prevent misinformation. 

What regulations govern the ethical use of AI in marketing?

California and the European Union have enacted AI privacy laws, including the GDPR and CCPA. However, broader federal regulations for AI are still pending in the U.S.

How does transparency in AI usage affect consumer trust?

AI can limit transparency by not disclosing the data used to produce content or make decisions. Companies using these tools should communicate their processes and standards to consumers to build transparency and trust. 

What steps can companies take to develop an ethical AI framework?

Companies should bring in experts from multiple departments and fields to establish protocols for the ethical use of AI. They should feature input from marketers, managers, consumer advocates, ethicists, and data privacy lawyers. 

Citations

Clark, S. (2024, May 13). AI in marketing: Ethical dilemmas explored. CMSWire. https://www.cmswire.com/digital-experience/ai-and-ethics-navigating-the-new-frontier/

Geyser, W. (2023, February 22). Artificial intelligence (AI) marketing benchmark report: 2023. Influencer Marketing Hub. https://influencermarketinghub.com/ai-marketing-benchmark-report/

Hari, H., Zhang, Y., Mukhopadhyay, S., & Banerjee, S. (2024). Exploring ethical frontiers of artificial intelligence in marketing. Journal of Responsible Technology, 21, 100103. https://doi.org/10.1016/j.jrt.2024.100103

PwC. (2023). PwC’s 2023 emerging technology survey. https://www.pwc.com/us/en/tech-effect/emerging-tech/emtech-survey.html

Featured image created by AI.