Automation
• AI and Counselling

References for Theme: AI and Counselling

• Allen, Summer
• "Artificial Intelligence and the Future of Psychiatry" (2020)

• Brunn, Matthias; Diefenbacher, Albert; Courtet, Philippe; Genieys, William
• "The Future is Knocking: How Artificial Intelligence Will Fundamentally Change Psychiatry" (2020)

  (p.462) Given their specific skillset— including, notably, complex social skills—it seems likely that psychiatrists may actually be relatively well sheltered from job displacement. Indeed, psychiatry requires greater integration of cultural and psychosocial factors than other, more patternbased disciplines. Hence, in a perspective where competencies that are complementary to machine prediction will become more valuable in the future while competencies that are substitutes for machine prediction will become less valuable, psychiatrists could capitalize on the potential benefits of AI in psychiatric practice

• "The Future is Knocking: How Artificial Intelligence Will Fundamentally Change Psychiatry" (2020)

• Diebolt, Vincent; Azancot, Isaac; Boissel, François-Henri; Adenot, Isabelle; Balague, Christine; Barthélémy, Philippe; Boubenna, Nacer; Coulonjou, Hélène; Fernandez, Xosé; Habran, Enguerrand; Lethiec, Françoise; Longin, Juliette; Metzinger, Anne; Merlière, Yvon; Pham, Emmanuel; Philip, Pierre; Roche, Thomas; Saurin, William; Tirel, Anny; Voisin, Emmanuelle; Marchal, Thierry
• "“Artificial intelligence”: Which services, which applications, which results and which development today in clinical research? Which impact on the quality of care? Which recommendations?" (2019)

• Doraiswamy, P Murali; Blease, Charlotte; Bodner, Kaylee
• "Artificial intelligence and the future of psychiatry: Insights from a global physician survey" (2020)

  (p.4) The World Economic Forum’s 2019 report titled “Empowering 8 Billion Minds”highlighted that“the burden of mental illness, in terms of human suffering, is both catastrophic and growing”and that“in the 36 largest countries where treatment is not accessible to everyone, mental health conditions have resulted in over 12 billion days of lost productivity”. It noted that mental health focused apps are among the fastest growing sectors in the global digital health market and called for the adoption of technologies, in an ethical, empathetic and evidence based manner, to enable better mental health for all.

• "Artificial intelligence and the future of psychiatry: Insights from a global physician survey" (2020)

• Fakhoury, Marc
• "Artificial Intelligence in Psychiatry" (2019)

  (p.122) AI-based techniques have also been effectively used in the prediction of psychiatric symptoms including psychosis, which broadly includes the manifestations of thought disorders, behavioral disorganization, or catatonia. Using automated speech analysis in combination with machine learning, Bedi et al. [9] were able to accurately predict the development of psychosis in high-risk youths, outperforming classifcation from clinical interviews, where much of the assessments rely on the patient’s motivation to accurately report his experience. Enhancing the capacity to predict psychosis could have signifcant impacts for the identifcation of high-risk individuals and could provide clinicians with valuable information on which to base treatment...

• "Artificial Intelligence in Psychiatry" (2019)

  (p.123) Notwithstanding their numerous advantages, interventions that are based on AI techniques carry risks and limitations. For instance, treatment plans that rely on computerized techniques do not implement full psychiatric evaluations and do not display the emphatic concern and emotional awareness of physicians. As a result, individuals who only rely on AI-based interventions are often discouraged to pursue treatment. Another major concern is that the majority of the studies on AI-based interventions have been conducted by their developers who want to demonstrate the effcacy of their product with personal fnancial stake in the outcome. Finally, the implementation of AI-based treatments may face several ethical concerns regarding patient...

• "Artificial Intelligence in Psychiatry" (2019)

• Fiske, Amelia; Henningsen, Peter; Buyx, Alena
• "Your Robot Therapist Will See You Now: Ethical Implications of Embodied Artificial Intelligence in Psychiatry, Psychology, and Psychotherapy" (2019)

  (p.5) There is the worry that the incorporation of embodied AI in mental health could be a justification for replacing established services, resulting in fewer available health resources or principally AI-driven services, thereby potentially exacerbating existing health inequalities. Many proponents insist that although informed by evidence-based psychotherapeutic approaches, chatbots, for instance, are not intended to replace therapists entirely.

• "Your Robot Therapist Will See You Now: Ethical Implications of Embodied Artificial Intelligence in Psychiatry, Psychology, and Psychotherapy" (2019)

• Kolog, Emmanuel Awuni; Montero, Calkin Suero
• "Towards automated e-counselling system based on counsellors emotion perception" (2018)

• Sachan, Dinsa
• "Self-help robots drive blues away" (2018)