ARTIFICIAL INTELLIGENCE AND THE HUMAN BIOFIELD: NEW OPPORTUNITIES AND CHALLENGES

被引:0
|
作者
Rubik, Beverly [1 ]
Jabs, Harry [1 ]
机构
[1] Inst Frontier Sci, Oakland, CA 94611 USA
关键词
Biofield; Human energy field; Artificial intelligence; AI; Big Data; Electromagnetic signals; Bio-information; Emotion; Robot; Emotional intelligence;
D O I
暂无
中图分类号
B [哲学、宗教];
学科分类号
01 ; 0101 ;
摘要
There is an organizing field of energy intimately connected with each person, the human biofield, which holds information central to a higher order of being. It has been proposed as having mind-like properties as super-regulator of the biochemistry and physiology of the organism, coordinating all life functions, promoting homeodynamics, and key to understanding life's integral wholeness. Although brainwaves and heart waves are well characterized and clinically useful, the biofield has not yet been mapped. Artificial intelligence (AI) is essential to handle the data processing from biofield mapping of a large database of humans to elucidate the electromagnetic fields, acoustic fields, and subtle energy field components of human life. Moreover, AI could monitor health and well-being through the biofield via a variety of sensors and indicate on a daily basis which lifestyle choices would improve the biofield and enhance wellbeing. AI could also be programmed to manipulate the biofield to directly enhance well-being. Once the biofield is decoded, then direct communication between humans and AI through the biofield would be possible. Thus, a number of positive applications of AI to the biofield to enhance human well-being are possible. Nonetheless, the presence of a biofield around humans presents a dilemma for AI robots, which would not possess a biofield other than the electromagnetic properties of their electronic components. So, even though robots may well exceed humans in certain cognitive tasks, robots would not possess a biofield, emotions, or an interior experience. Although they may be able to emulate emotions with certain facial expressions and vocal patterns, they may always be distinguished from humans as lacking the complex dynamic biofield of human beings that reflects the living state.
引用
收藏
页码:153 / 162
页数:10
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