Page 12 - 2024 Intuition, Imagination and Innovation in Suicidology Conference
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Conference  Is Human-Artificial Intelligence in Suicide



                  Research and Prevention a Capable

          Suicidology  Combination?

                  Invited lecture · Luke Balcombe




          in      Dr. Luke Balcombe specializes in the field of digital mental health, focusing on
                  the potential and limitations of digital tools for suicide research and prevention.
          Innovation  dition, Dr. Balcombe has a keen interest in the mental health of athletes, explo-
                  His research also extends to the impact of social media on mental health. In ad-

                  ring key aspects such as transitions, adaptation and resilience. His research also
                  encompasses men’s mental health and aims to address and understand the par-

          and     ticular challenges faced by this population.
                  Abstract. This keynote presentation critically examines the intersection of
          Imagination  ghlighting the dual potential and significant ethical and legal challenges that
                  generative Artificial Intelligence (GAI) in suicide research and prevention, hi-

                  currently impede its full utilization. It acknowledges GAI’s capability to pro-
                  cess vast datasets, thereby identifying risk factors and targeted interventi-
                  on opportunities with unprecedented precision. However, the application of
          Intuition,  GAI in this sensitive domain is fraught with concerns regarding privacy, con-
                  sent, and the potential for data misuse. Despite these challenges, the presen-
                  tationpositsthatthroughrigorousregulation,transparentethicalguidelines,
                  and extensive testing, some of the barriers to the effective use of GAI in su-
          2024    icide research and prevention can be surmounted. It suggests that a robust
                  framework that incorporates data protection laws, ethical AI use standards,
                  and continuous oversight through a human-artificial intelligence model co-
                  uld pave the way for responsible GAI deployment in this domain.


















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