Source: University of Lapland

Research from the University of Lapland delves into the ethical and legal implications of consenting to the use of emotional data by AI-based services. The study highlights how emotional data, derived from sensors, facial recognition, or user interactions, raises unique privacy concerns. Unlike traditional personal data, emotional data is deeply personal and can expose vulnerabilities, making informed consent critical.

The authors argue that current consent models often fall short in ensuring users fully understand how their emotional data will be used, stored, or shared. They call for updated regulations and guidelines to address the unique nature of emotional data. Transparency, user education, and stricter oversight are emphasized as key to safeguarding user autonomy.

The study also explores scenarios where emotional data could be beneficial, such as mental health diagnostics and personalized learning, but warns against misuse in manipulative advertising or discriminatory practices. This research contributes to the broader discourse on balancing innovation with ethics in AI.