AI systems are reading your face right now—in stores, schools, workplaces, and airports. But can they really detect your emotions? And should they?

Episode 2 of our AI & The Future of Identity series explores emotion recognition AI and biometric surveillance. We examine how these systems work, where they're deployed, and why experts are sounding alarms about accuracy, bias, and privacy.

WHAT WE COVER:

• How emotion recognition AI analyzes facial expressions, vocal tone, and body language to predict emotional states

• Why the science is controversial—research shows emotional expressions aren't universal across cultures

• Real-world applications: Walmart checkout cameras, Amazon warehouse monitoring, HireVue job interviews, online exam proctoring

• Discrimination risks for neurodivergent individuals, different cultures, and marginalized communities

• Workplace surveillance and the erosion of employee privacy

• Law enforcement use and the dangers of automated guilt detection

• Beneficial applications in mental health screening and accessibility technology

• Current regulations: EU AI Act, US city bans, and the gaps that remain

• What you can do to protect your emotional data and demand transparency

FEATURED INSIGHTS FROM: • Satya Nadella (Microsoft CEO) on responsible AI development • Meredith Whittaker (Signal President) on algorithmic bias • Shoshana Zuboff (Harvard Business School) on surveillance capitalism • Dr. Lisa Feldman Barrett's groundbreaking emotion research

NEXT EPISODE: Culture vs. Code - How AI threatens and preserves cultural identity

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