Need for Ethical Oversight of Therapeutic Voice AI
A Simon Fraser University researcher emphasizes the urgent need for ethical, legal, and social oversight of voice artificial intelligence (AI) in clinical settings, particularly in therapeutic care.
Voice AI analyzes vocal patterns to detect signs of physical, cognitive, and mental health conditions based on vocal qualities like pitch, jitter, fluency, and specific words used.
According to SFU health sciences researcher Zoha Khawaja,
voice AI has the potential to act as a biomarker, but caution is necessary.
Khawaja's study, which included surveys of 13 stakeholders, including clinicians, ethicists, and patients, explores the potential and perils of voice-based AI apps in mental health.
Author's summary: Expert urges caution with therapeutic voice AI.
- Voice AI detects health conditions through vocal patterns
- Need for ethical and regulatory oversight in clinical settings
- Potential and perils of voice-based AI apps in mental health
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