Through proper context, data becomes information.<\/strong><\/p>\n\n\n\n Still, the information as it is stored in a book is not in any way like the information that we \u2018store in our human memory.\u2019<\/p>\n\n\n\n Likewise, smart data in a present-day A.I. system is not in any way like data stored in the human brain\/mind. For starters, human \u2018software\u2019 = hardware. Mind IS brain \u2015 at least, to a substantial degree.<\/p>\n\n\n\n Likewise, human intelligence is not in any way like so-called intelligence in present-day A.I. Mainly, human intelligence is much more fluid.<\/p>\n\n\n\n Even human solidity in thinking is embedded in fluidity.<\/strong><\/p>\n\n\n\n In humans, every concept, every piece of solidity, every thought and feeling is the result of fluidity. Our stream of consciousness is a stream of non-conscious fluidity of which only parts break through the surface of conscious awareness. This way, we think parallel and distributed. [see: \u201cPatterns in Neurophysiology<\/a>\u201d]<\/p>\n\n\n\n This makes us robust and highly efficient. It comes at a price: proneness to logical errors, forgetfulness, biases of all kinds, dissociation leading to health problems in body and mind. We should probably not want to create a duplicate of ourselves, even if that would be possible.<\/p>\n\n\n\n This is also about the age-old question of culture versus nature. [see: \u201cCulture and Nature<\/a>\u201d]<\/p>\n\n\n\n Why should A.I. need to be fluid?<\/strong><\/p>\n\n\n\n It is needed to be able to see reality as only a fluid system can see it. What we call \u2018common sense\u2019 certainly pertains to this domain.<\/p>\n\n\n\n In dealing with humans, only a fluid system can understand us as we naturally are. This needs to be reckoned with as A.I.-systems become more complex. We should strive not to robotize humans through A.I. applications. [see: \u201cRobotizing Humans or Humanizing Robots<\/a>\u201d]<\/p>\n\n\n\n Semantic A.I.<\/strong><\/p>\n\n\n\n = the use of knowledge graphs + present-day A.I. technologies + natural language processing.<\/p>\n\n\n\n A \u2018semantic net\u2019 is a knowledge graph, basically a huge bunch of concepts and conceptual links.<\/p>\n\n\n\n The aim of semantic A.I. is an integration of top-down processing (~knowledge graphs \u2013 deductive) and bottom-up processing (~deep neural nets \u2013 inductive). The former is solid; the latter is fluid. In this striving, it resembles the human case, but not in the way it tries to perform the combination. This last word is crucial. A combination is not a synthesis, no intrinsically integrated whole. Integration that may be achieved is not from-inside-out.<\/p>\n\n\n\n Semantic A.I. does not think parallel and distributed in a human way.<\/p>\n\n\n\n Compassionate A.I. takes proper care of fluidity.<\/strong><\/p>\n\n\n\n As a general principle, solid A.I. \u2013 as any solidity \u2013 is only meaningful if it serves as a container to fluidity. This is by definition itself of meaningfulness. [see: \u201cThe Meaning of Meaning<\/a>\u201d] The information in a book is not meaningful by itself. It only becomes so through a (fluid) reader.<\/p>\n\n\n\n To meaningfully heal \u2013 from inside out, mentally and psycho-somatically \u2013 as well as to attain and enhance our typically human potential, fluidity is necessary. A coaching chatbot should be Compassionate.<\/p>\n\n\n\n In my view, of course, all A.I. should be Compassionate to a fair degree. [see: \u201cThe Journey Towards Compassionate A.I.<\/a>\u201d] This entails taking care of fluidity as is appropriate, profoundly thinking about the Compassionate side also when it doesn\u2019t appear relevant at first sight.<\/p>\n\n\n\n Only this way does the future look Compassionate.<\/p>\n