Fate by algorithm: Fairness, Accountability, Transparency and ethics in AI fortune telling
Motivation:
Artificial Intelligence is increasingly integrated into fortune-telling services, including tarot card prediction platforms, astrology apps, Bazi, calculation websites, and AI-based palmistry or face-reading tools. These systems may appear playful or harmless, yet users may also rely on them for meaningful personal decisions related to relationships, career, financial planning, and health.
However, little is known about how these AI systems work, how they use personal data, and whether they embed or reinforce psychological, social, cultural, and gender biases. AI fortune-telling is unregulated, opaque, and lacks accountability mechanisms, creating new ethical and socio-technical research gaps.
Despite increasing popularity, this intersection of algorithmic decision-making and cultural/spiritual guidance remains highly underexplored in Information Systems research.
The interested students may choose 1–2 focus questions or propose their own questions:
- What fairness, transparency, and accountability issues emerge in AI-based fortune-telling tools?
- How do AI fortune-telling platforms communicate uncertainty and accountability to users?
- What risks (e.g., psychological, behavioral, cultural, legal) arise from algorithmic fate prediction?
- How can ethical guidelines for such systems be conceptualized?
Research method: Systematic Literature Review (SLR)
If you are interested in this topic, please contact guangyu.du(at)tum.de.