EPISODE · May 27, 2026 · 16 MIN
AI Marketing Ethics, Data Privacy & Industry 5.0: Research Brief
from AI & Marketing Research Radar
If you can't explain to your customer what data you're collecting — or why — are you actually ready to be running AI marketing at all? That's the uncomfortable question sitting at the centre of this week's radar. Two 2026 book chapters surfaced from a screen of 75 papers, both pointing at the parts of AI marketing most teams don't want to look at: privacy exposure, algorithmic bias, and the real complexity of integrating AI into existing workflows. In this Research Radar Brief, Dr. Eva Wolf reviews 2 recent AI marketing research papers covering ethical challenges in AI-driven targeting, data privacy and GDPR compliance, algorithmic bias in ad systems, and Industry 5.0 human-machine collaboration in marketing management. What you'll learn: - Why most AI marketing campaigns may be collecting personal data without adequate consumer transparency - How training data gaps can cause AI targeting systems to treat customer segments unfairly - What GDPR enforcement inconsistencies mean for marketers operating across borders - Why 'privacy by design' is the practical standard regulators and researchers are pointing toward - How Industry 5.0 reframes AI as a human-machine partner — not just an automation layer - What AR, VR, and IoT adoption in marketing looks like in emerging markets - Why workflow integration complexity is a real barrier when adding AI tools to existing marketing stacks Papers covered: 1. Ethical Challenges and Data Privacy Concerns in AI-Driven Marketing Gaur, Pareek & Yadav (2026) Source type: Academic book chapter Peer review: Likely peer-reviewed Access: Abstract only DOI: https://doi.org/10.1201/9781003671381-4 2. AI-Based Marketing Management Strategies and Industry 5.0 Parashar, Parashar & Parashar (2026) Source type: Academic book chapter Peer review: Likely peer-reviewed Access: Abstract only Venue: Bentham Science Publishers eBooks DOI: https://doi.org/10.2174/9789815324037126010015 Full show notes, transcript, and citations: https://bigplans.media/episodes/ai-marketing-ethics-data-privacy-industry-5-2026-05-27 Disclaimer: This is a first-pass research briefing, not a final academic review. Summaries are based on available abstracts and metadata only. Neither paper reached the deep-dive threshold this episode — both are watchlist items pending full-text access. Read the original papers before making any decisions. -- This is a first-pass research briefing, not a final academic review. Read the original papers before making major marketing or business decisions. AI & Marketing Research Radar is produced by BigPlans Media. Subscribe wherever you listen to podcasts.
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If you can't explain to your customer what data you're collecting — or why — are you actually ready to be running AI marketing at all? That's the uncomfortable question sitting at the centre of this week's radar. Two 2026 book chapters surfaced from a screen of 75 papers, both pointing at the parts of AI marketing most teams don't want to look at: privacy exposure, algorithmic bias, and the real complexity of integrating AI into existing workflows. In this Research Radar Brief, Dr. Eva Wolf ...
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AI Marketing Ethics, Data Privacy & Industry 5.0: Research Brief
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