To explore the potential of conversational AI, specifically digital doulas, in enhancing perinatal mental health care while addressing associated risks such as algorithmic bias and privacy concerns.
Key Findings:
Perinatal mental health conditions are common but often underdetected and undertreated.
Conversational AI can provide scalable, continuous support, addressing barriers to disclosure, particularly in vulnerable populations.
Digital doulas should complement, not replace, human care, focusing on relational support to enhance patient trust.
Interpretation:
Conversational AI has the potential to enhance perinatal mental health care by providing timely support and reducing barriers to disclosure, but it must be implemented with caution to avoid risks such as algorithmic bias, privacy concerns, and the illusion of empathy.
Limitations:
Risk of illusion of empathy and crisis recognition failures, which could lead to inadequate support.
Potential algorithmic bias against vulnerable populations, impacting equitable access to care.
Data privacy vulnerabilities and unsafe deployment, which could compromise patient trust and safety.
Conclusion:
The clinical value of digital doulas lies in their ability to strengthen the perinatal mental health care cascade without undermining essential human relationships, emphasizing the need for careful integration.
