Part #5: Intelligence, Learning & Sense of Reality.
I perceive one’s so-called intelligence might be interacting with two sub-categories of reality; i.e. one’s imaginative and one’s physical reality. This interaction and the constraining yet changing conditions within, I hypothesize, might create at least some of our perceptions and experiences.
Intelligence, I feel, might therefore not only be shown by means of one’s prowess in the regurgitation of facts (as derived from either subsets of a human’s reality). Nor, in the application and mapping of facts; both of which do have a value, even if one could find many pieces of information in (online) databases of various formats, quality, size and user experience.
I want to point out that I presently still subscribe to the idea that knowing that a fact exists, or knowing where to find and how to map facts (unknown or other), is valuable to many and in many an application. However, I am also of a believe that it is far from enough.
I feel that the word “intelligence” is heavily loaded, in a popular sense, and seems continuously debated in an all-round sense. I sense that skills of a human (inclusive of brain and body) are, to my taste, too often segregated, debased and dismissed. Definitions include or exclude, in some increasing or decreasing degree, emotion, intellect, creativity, imagination, motor skills, and so on.
That stated human intelligence (HI) is strengthened and well-rounded by means of social skills, skills of decomposition, interpretation, application and reapplication, appropriation, analysis, synthesis and re-synthesis or re-composition, adaptation, iteration, putting information to different usage, careful consideration and so on.
Indeed, there are many a word that could be listed which have already been listed, ad nauseam, in realms of 21st Century Learning Skills,[14] leadership skills, Computational Thinking, creative processes and Design Thinking, thoughts surrounding frameworks, modes, models and simulations, scientific methodologies or logic thought, intuition, wisdom and shared well-being.
However, what is the larger interconnecting methodology of the above almost randomly listed thought-mechanisms? If there is one, are many of us aware of it? Are a sufficient number of us applying it? Can we apply them coherently? Are we maximized in our learning environments to do so?
A label categorizing these thought mechanisms (e.g. “21st Century Learning Skills” or “soft skills”, etc.) does not make a coherent method of learning. Nor does it ensure a sustainable application between individuals. Neither does it create a conducive environment with the conditions to stimulate such methodological learning, enabling a learner in applying them as to how to think.
As implied, these above-mentioned attributes and processes of human thinking need to be further honed and fine-tuned towards creating a wise human being in relation to another such person (be that person a human or other entity/agent; such as an AI).
Then I come to the papers and other publications covering AI with ethics. These consider embedding ethics into such technology. That’s ok, even exciting but insufficient.
As the authors of the papers seem to sense there is a need for the consideration of ethics in relation to AI. Yet, the awareness of such ethics could innovatively be one that is stimulated by means of a methodological approach and beyond the dogmatic nature of certain ideological believes (and their monolithic sets of morals) which up till recently (and into the foreseeable future) were coordinated by the proverbial church, family, community or state.
One of the papers implied that these variations of sets of morals could be implemented into AI. I find this not entirely an approach with humanity in mind. It seems to ignore the potential for a human to innovate cognitively (I mean, as to how we think coherently) –and for that same human to become enabled to go beyond a moral, as a fixed point in spacetime– as much as it is that same human who technologically innovates. This, one can consider while perhaps also considering our unconscious implementation –to some imagined, hypothetical or factual degree– of moralities and or biases in our research, developments and innovations. Perhaps, one could consider ethical consciousness and cognitive processes as intra-human technologies? I do not know, I am imagining.
Artificial Intelligence is an exciting developmental area (e.g. with a slightly popularized focus on neural networks, machine learning and deep learning). Such technologies are mesmerizing and catalyze imagination and Brownian dances of emotions.
Contents
- 1: Considerations, Reflections & A First Suggested Solution.
- 2: The Logic, Emotion & Ethics of Writing about Artificial Intelligence & Beyond.
- 3: AI at the Center vs. Humans at the Center of our Considerations.
- 4: AI, Ethics & Potentially Supporting Solutions.
- 5: Intelligence, Learning & Sense of Reality.
- 6: Science Fiction, Technological Societies & Human Intelligence.
- 7: Technologies & Human Skills, Methods & Processes.
- 8: A First Suggested Methodological Approach Towards Solutions.
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