AI, Impact Investment, Ethics & Deeply Human-Centered Innovation: #1

Part 1: Considerations, Reflections & A First Suggested Solution.

 

If we wish to promote AI[1] and AI’s surrounding ethics, then I wish to argue that we should equally, and in parallel, support developments and innovations in “HI” or Human Intelligence. However, in this text, I wish to introduce an innovative way of looking at “intelligence.” It is one beyond the mere acquisition of more data or knowledge points.

Such “HI” R&D[2] [this endnote offers information on why I use “R&D” as opposed to, for instance, “Research,” excluding “Development”] plus its output of innovations[3], could go beyond, or augment, the presently established educational systems, their frameworks, their (physical, social or cultural) settings, processes, prioritization and their biases. It could have social impact. Methodological work towards such impact across humanity is one referred to under the title “A First Suggested Methodological Approach Towards Solutions”.

Such (ethical) innovations, as suggested following the Research and Development (R&D) in “HI” could also aim to go beyond learning foci and systems as presently-defined by means of established pedagogical frameworks, processes and curricula (none of which I imply to dismiss per se). Secondly, such ethical innovations could take note of being enabling in how we think, allowing learners’ access to means towards increasing an awareness of the complexities of today’s and tomorrow’s largest to smallest contexts; be they technological, personal, relational, communal, economic, political, environmental or global. Perhaps the methodology introduced under the title “A First Suggested Methodological Approach Towards Solutions” could enable such awareness.

In similarity, as ethical innovations in AI seem to want to achieve, I imagine innovations in “HI” might be further researched to achieve developments and advancements in ethics as applicable in-between humans and their inter-personal experiences.


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