Practicing Meditation in Artificial Intelligence (AI) Age
This article is about teaching meditation in the Artificial Intelligence age. Meditation has been regarded as a meaningful, sensible, successful option as well as a complementary treatment to tackle and lighten stress-related psychosomatic disorders. There are numerous scientific experiments, studies and results thereof which have uncovered the novel phenomenon that meditation can be utilized for defeating cardiovascular ailments, stress and psychological illness. Scientists and researchers have reliably shown that meditation practices can improve emotional stability. Our reach Indian ethos, the base of spirituality and meditation practices has helped mankind to transcendent at the highest level of consciousness.
However, with the advent of science and technology and new generation examining life with a scientific outlook, a new drift and phenomenon throwing light on efforts and opportunities that can be explored by synergizing the two different fields of Meditation and Artificial Intelligence and future challenges that can be posed before by accessing the advent of science and technology. There are advantages as well as challenges also. After reaching the level of self-realization, a new horizon is created and that is “the world is one family” and one thrives for global peace and harmony.
In addition, this paper examines the possibility of two paths viz. The traditional path of ethos, meditation, and second one designing and articulating the path of self-realization synergizing the phenomenon of Artificial Intelligence. There lie advantages as well as challenges ahead of the path towards reaching the milestone of global peace and harmony through the higher levels of consciousness. This being a conceptual study & paper, there remains a future scope of having empirical research taking a base on the concept of synergizing the phenomenon of meditation and Artificial Intelligence.
July 2020Xi'an Shiyou Daxue Xuebao (Ziran Kexue Ban)/Journal of Xi'an Shiyou University 16(7):69-77 DOI:10.2139/ssrn.3644213
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