Dr. Robert Wernigg MD, MSc is a Hungarian psychiatrist, psychotherapist and healthcare manager whose work connects frontline community mental health care, public health leadership and national service development. He currently leads the Department of Primary Care Planning and Development at Hungary’s National Directorate-General for Hospitals, while also working as a psychiatrist and psychotherapist at the Awakenings Foundation, providing community-based care for people with complex needs. He is President of the Hungarian Psychiatric Association and WHO National Focal Point for Mental Health in Hungary. With more than two decades of leadership experience in psychiatry, public health and health-system development — including community mental health services in Hungary and the United Kingdom, suicide-prevention initiatives, and publications on mental health reform, primary care integration and AI in psychiatry — his professional focus is how human presence, relational care and evidence-informed innovation can strengthen emotionally supportive mental health systems.
In mental health care, natural and artificial intelligence should not be understood as competitors, but as systems with different strengths. Both can recognise patterns, learn from prior information, operate under uncertainty and infer meaning from language-based signals. Yet the difference is fundamental: human intelligence is embodied, biographical, relational, value-laden and morally accountable, whereas artificial intelligence calculates probabilistic associations from large datasets without lived experience, consciousness, suffering, responsibility or genuine therapeutic presence. The most promising future is therefore the augmentation of human support. AI may contribute to the detection of early warning signs, decision support, helpline back-up, psychoeducation, self-monitoring, administrative relief, triage and improved access to care. In crisis support and mental health services, it can function as a “second brain” that helps organise information, detect weak signals and support timely responses, but it must never be mistaken for a “second conscience.” Safe collaboration requires transparent use, clinical validation, data protection, bias monitoring, clear crisis protocols and human oversight. The central question is whether it can help human helpers become more available for what remains irreplaceably human: attention, judgement, responsibility, trust and connection.