AI vs. Human Matchmakers: Evaluating Customer Perceptions, Trust, and Ethical Concerns in AI-Driven Marriage and Matchmaking Services

Artificial intelligence (AI) is reshaping industries, including the marriage and matchmaking sector, through AI-driven chatbots that facilitate partner selection, compatibility analysis, and user engagement. This study examines customer perceptions, trust dynamics, and ethical concerns associated with AI-powered matchmaking services, particularly in comparison to human matchmakers. Using a mixed-methods approach combining qualitative surveys and statistical analysis, this research investigates trust factors, data privacy apprehensions, and AI’s limitations in processing emotional intelligence. Results indicate that while AI enhances efficiency through data-driven recommendations and pattern recognition, scepticism persists due to concerns about algorithmic bias, lack of human empathy, and ethical transparency. Moreover, AI chatbots struggle with nuanced interpersonal cues, raising questions about their reliability in emotionally sensitive decisions. The study suggests that a hybrid AI-human matchmaking model, integrating machine learning-driven suggestions with human oversight, could improve user trust and adoption. By addressing privacy safeguards, regulatory compliance, and AI explainability, the matchmaking industry can responsibly harness AI’s potential while preserving human intuition. These insights contribute to the broader discourse on AI’s role in human-centric decision-making and its ethical deployment in relationship-based industries.