Academic journal article Cosmos and History: The Journal of Natural and Social Philosophy

Artificial Intelligence and the Human Biofield: New Opportunities and Challenges

Academic journal article Cosmos and History: The Journal of Natural and Social Philosophy

Artificial Intelligence and the Human Biofield: New Opportunities and Challenges

Article excerpt


The human organism may be regarded as a complex, nonlinear, dynamic, self-organizing system, exchanging energy-with-information at multiple levels of organization in order to survive and thrive. The notion of an organizing field--the biofield--is imperative, because organisms function as integrative whole beings in geocosmic and man-made fields. Thus, the living state must involve a coupling between biochemistry, the biofield, and environmental fields, such as electromagnetic fields (EMFs). Organisms process information not only through the senses and biochemically-sensitive receptors, but also via their own endogenous energy fields and by means of their exquisite sensitivity to exogenous energy fields from other organisms and the environment.

This biophysical view is complementary to the biomedical view of life as biomolecules, similar to the principle of complementarity of particle-wave duality in physics. It offers a dynamic, holistic view of the organism with respect to its environment in terms of field interactions and integral flows of energy-with-information. The biofield, its history, and various iterations were recently described [1 - 4]. In this paper we focus on how artificial intelligence (AI) offers new opportunities to biofield science and its applications. We also explore how the biofield may impact AI.

The human biofield consists of a large number of electromagnetic fields that emanate from the body, spanning from the extremely low level frequencies of the brain and heart, to infrared and optical wavelengths emitted by various organs and tissues [5]. These various frequencies contain electromagnetic bio-information about the organism's status, health and well-being, stress level, and other parameters. Although a few of the innate human energy emissions--in particular, heart waves and brainwaves--are well elucidated and used clinically, the entire human biofield has never been mapped. Nor do we understand the bio-informational content associated with all the component frequencies. Mapping the human biofield is a viable project for AI because of the enormous amount of electromagnetic information and data gathering that it would entail, plus decoding the bio-information.

Another AI application would be to monitor health and well-being directly through the human biofield, via various sensors placed on or near the body. Still another would be manipulation of the human biofield by AI toward enhancing health and well-being. Yet another would be direct communication via optical and other electromagnetic signals between AI and humans. These applications would be highly beneficial, holding promise of future breakthroughs, such as health applications and novel communication strategies.


Fast forward to the year 2030. Upon awakening, you insert one finger into a portable device to assess your health status through your biofield. The associated software analyzes your state of health and well-being in less than a minute and gives you a complete report. It highlights any changes since your last assessment, including trends toward improvement or decline. It also indicates what you should eat, drink, and what work, exercise, and relaxation plans you should implement today in order to improve or maintain your optimal well-being.

This scenario is not so far-fetched from the present, because a device, Bio-Well, already exists that assesses the human biofield through all ten fingertips. It utilizes high voltage electro-photography, a type of digital Kirlian photography, with subsequent software analysis of the induced corona discharge pattern of light emitted by each fingertip [6, 7]. (See Figures 1 and 2.)

From Bio-Well measurements on various human subjects over time, it has been found that individuals exhibit a level of uniqueness in their energy fields, a distinct "biofield signature. …

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