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Paper A

Ethical Challenges and Data Privacy Concerns in AI-Driven Marketing

Ripudaman Gaur, Vandana Pareek, Manish Kumar Yadav — 2026

academic book chapter  ·   ·  watchlist

Key findings

• When companies use AI to target customers, they typically collect large amounts of personal data — often without clearly telling people what is being collected or how it will be used. Most consumers don't realize their behavior is being tracked and used to influence their decisions.
• AI marketing systems can unintentionally treat some groups of people unfairly if the data used to train them is skewed or incomplete — for example, showing certain ads only to certain demographics in ways that reinforce existing inequalities.
• Laws like GDPR (Europe's data privacy law) are trying to set rules for how AI can use personal data, but enforcement is inconsistent, especially across different countries, leaving many gaps.
• The authors argue that responsible AI marketing requires 'privacy by design' — meaning companies should build privacy protections into their tools from the start, rather than adding them as an afterthought — and must balance making money with respecting customers.

Marketing implications

• Before launching an AI-powered ad or personalization campaign, do a quick audit: Can you clearly explain to a customer what data you're collecting and why? If not, that's a legal and trust risk worth fixing before you go live.
• Check whether the data you're feeding your AI targeting tools represents all your customers fairly — if certain groups (by age, race, location, income) are underrepresented in your training data, your campaigns may accidentally exclude or disadvantage them.
• If your company operates in Europe or targets European consumers, verify your AI marketing tools are GDPR-compliant — especially around consent collection and data retention policies. Penalties for non-compliance are real.

Paper B

AI-Based Marketing Management Strategies and Industry 5.0

S.P. Parashar, Abhijeet Parashar, Abhishek Parashar — 2026 — BENTHAM SCIENCE PUBLISHERS eBooks

academic book chapter  ·   ·  watchlist

Key findings

• Industry 5.0 is about humans and machines working together as partners, not just automation replacing workers — and this shift is changing how marketing teams should think about using AI tools.
• AR and VR are highlighted as tools that can make customer experiences more engaging and immersive, and Indian companies are starting to adopt these technologies in their marketing.
• Using AI in marketing raises serious concerns about data privacy that companies need to plan for before rolling out new tools.
• Marketing managers face real complexity when trying to add new AI-based tools to workflows that already exist, and the paper aims to help them navigate that.

Marketing implications

• If you're a marketer at a mid-sized company trying to add AI tools, this chapter may offer a useful framework for thinking through what questions to ask before you start — especially around data privacy and workflow integration.
• If you're interested in AR or VR for customer experience, the paper may offer examples from Indian companies, but check the original chapter before acting on any specific recommendations.
• Be prepared to address data privacy concerns with your legal or compliance team before deploying AI-powered marketing tools — the paper flags this as a growing problem worth planning for.

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