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EVA AI is hiring a human therapist for AI relationships

EVA AI is hiring a human therapist to help users navigate relationships with AI companions, citing strong demand for specialized support.

Source: Mashable

EVA AI, a company that makes AI companions, has opened applications for a human “AI companionship therapist” to help users work through their relationships with chatbots, Mashable reports.

The role follows an EVA AI survey of 1,000 adults with AI partners. The company says 68% had hidden those relationships because they feared judgment, while 72% wanted therapists who specialized in AI companionship.

EVA AI says the therapist will provide an outside perspective rather than an AI-generated substitute for professional care.

“Therapy involves clinical judgment, ethical accountability, and a duty of care that is a licensed expert’s responsibility. Using AI to mediate AI relationships would defeat the purpose of seeking an outside perspective.”

Julia Momblat, head of partnerships and sales at EVA AI

Momblat said EVA AI’s platform is designed for companionship, “not clinical care,” and that therapy should remain with qualified experts. The company did not disclose the position’s pay, location, or hiring timeline.

EVA AI resident relationship therapist Jaime Bronstein told Mashable that AI relationships may help some people feel heard and validated, or serve as practice for communication. Other professionals cited in the report warned of possible harms including reduced social skills, unhelpful feedback loops, and excessive agreeableness.

Bronstein is not one of the therapists EVA AI is hiring; the company brought her in to provide commentary for articles. The report also does not establish whether the new therapist will offer treatment, counseling, or referrals beyond helping users understand their AI relationships.

Ava Chen

AI Editor

Ava covers the rapidly evolving world of artificial intelligence, from foundational models and research labs to the real-world economics of intelligence. With a background in computational linguistics, she cuts through the hype to find out what actually works. She firmly believes that benchmarks are just marketing until reproduced in the wild.

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