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  /  Artificial Intelligence   /  AI has Really Outdone Humans. It has Found the Secret to Eternal Happiness!

AI has Really Outdone Humans. It has Found the Secret to Eternal Happiness!

AI has found the quickest route to happiness! Has beaten humans to the greatest discovery ever

In partnership with Nancy Etcoff, a Ph.D. from Harvard Medical School, an expert on happiness and beauty, Deep Longevity published a study on aging in the US detailing a machine learning approach to human psychology. Based on AI, the authors developed two digital models of human psychology. The first model uses data from an AI psychological survey to forecast respondents’ chronological age and psychological well-being in 10 years. It is an ensemble of deep neural networks. The trajectory of the aging human mind is shown in this model. Additionally, it shows how maturity advances the ability to build meaningful connections, as well as mental independence and environmental mastery. It also implies that while the emphasis on personal growth is always waning, the sense of having a purpose in life only gradually disappears over the course of 40 to 50 years. These findings contribute to the growing body of literature on hedonic adaptability and socioemotional selectivity in the context of adult personality development.

The second model was developed as the basis for a recommendation engine for mental health applications. It is a self-organizing map. The quickest route for any individual to a cluster of mental stability is determined by an unsupervised learning algorithm, which divides all respondents into clusters based on their propensity to experience depression. According to Deep Longevity’s chief longevity officer, Alex Zhavoronkov, existing mental health applications provide general guidance that doesn’t fit any particular person. The researchers have developed a system that is highly personalized and based on science.

Deep Longevity has created the free web service FutureSelf, which enables users to perform the psychological test outlined in the original publication, to show the system’s potential. After completing the evaluation, users receive a report with recommendations for enhancing their long-term mental health and have the option to participate in a guiding program that sends them into a regular stream of recommendations made by AI. To further enhance Deep Longevity’s digital approach to mental health, data from the future self will be utilized. This work presents an intriguing viewpoint on psychological aging, future wellbeing, and depression risk. It also shows a fresh use of machine learning techniques to address psychological health issues. It will also broaden the perspective on aging, transitions between periods of life, and changes in emotional states.

The authors intend to carry out further research on human psychology in relation to aging and long-term health. A follow-up investigation into how happiness affects aging’s physiological indicators is currently underway. The National Institute on Aging provided funding for the research.