The Promises and Pitfalls of using Machine Learning in Mental Health is organized by European Federation of Psychologists Associations (EFPA) and will be held on Oct 17, 2023.
Description:
The tremendous advancement of machine learning in the past decade is beginning to have a significant impact on the field of mental health.
It has both opened up new avenues for identifying individuals at risk for poor mental health outcomes and factors that prevent such outcomes.
However, machine learning comes with many pitfalls if used it without an awareness of the underlying algorithms and their potential limitations. Being able to critically assess the use of machine learning in mental health and other fields of psychology is a skill psychologist in the 21st century will need.
In the upcoming talk we aim to provide information on the basics of the most popular machine learning models and their limitations.
We also present the concept of explainable artificial intelligence, developed to ensure that high stakes applications of machine learning are grounded in sound psychological theory.
Finally, we also provide information on EU regulations and professional guidelines developed to steer the application of machine learning to the benefit of the mental health community and the public at large.
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