Investigating Emotional AI Technologies in a Transnational, Cross-Cultural and Multi-Sectoral Context

Abstract

One of the fastest growing areas of Artificial Intelligence (AI) belongs to intelligent machines that can sense, read and evaluate human emotion. More commonly known by emotional AI, the technology is quickly becoming an integral layer in smart city design. Evolving in sophistication and complexity, emotion-sensing devices are now featured in passenger cars, commercial aircraft, classroom teaching aids, smart toys, home assistants, online conferencing, email software, advertising kiosks and billboards, fast food and drive-through menu, care robots, as well as public and private security systems. Unlike other AI applications that rely on extracting data from a person’s corporeal exterior, emotional AI passes into the interior and highly subjective domain of a person via biometric means. This includes the use of algorithms, biosensors and actuators that harvest non-conscious data gleaned from someone’s heartbeat, respiration rate, blood pressure, voice tone, word choice, body temperature, galvanic skin responses, head and eye-movement, and gait. Intelligent machines which attempt to make internal emotional states of individuals visible raises questions about data privacy in public spaces, empathic surveillance of everyday life and importantly, how governance mechanisms should best protect civic values and rights. Thus, this research project adopts both an interdisciplinary and qualitative and quantitative approach, asking critical questions about how citizens can live well and ethically with emotional AI.

Document Details

Document Type
DoD Grant Award
Publication Date
Feb 16, 2024
Source ID
FA23862314065

Entities

People

  • Fuminobu Mizutani

Organizations

  • Air Force Office of Scientific Research
  • Kanto Gakuin University
  • United States Air Force

Tags

Readers

  • Agent-Based Social Robotics and Mobile-Assisted Learning in Virtual Environments.
  • Educational Psychology
  • Geospatial Intelligence and Artificial Intelligence Analytics

Technology Areas

  • AI & ML
  • AI & ML - DoD AI Strategy
  • Autonomy
  • Biotechnology
  • Space