Ethical Guardrails for Real-Time Generative Targeting Guardrails

Abstract

Real-time generative targeting, powered by AI and machine learning algorithms, has revolutionised digital content, ad, and user experience personalisation. Real-time analysis of user activity, preferences, and contextual data allows these systems to dynamically provide tailored messages. Even while this technology increases participation and efficiency, we must address its major ethical issues. Algorithmic discrimination, user privacy violations, and manipulative content that exploits psychological flaws worry many individuals. Lack of solid regulatory frameworks and ethical monitoring increases the risk of these technologies being utilised for profit or politics. Thus, we must establish ethical boundaries for innovation and responsibility.