More About Ethnographic AI (eAI)

In a previous article of mine, “The Gen Z Ethnographic AI (eAI) Approach To A Human Centric Digital Society,” I provided a brief introduction about ethnography and its role in defining a people-oriented digital framework. As quoted from the aforementioned paper:

“ethnography is an anthropological and sociological research method that is both qualitative and quantitative in nature, whereby detailed observations of humans are carried out in certain social systems and conditions in order to understand their needs.”

eAI seeks to utilize the approach of analyzing real-time social dynamics in order to better comprehend and address the requirements of humans living in both broad and highly defined circumstances, therefore elevating the global digital human framework. Moreover, ethical/responsible AI as well as explainable AI (XAI) will serve as the precursors of eAI. This is because the ethnographic approach is only capable of functioning at optimality with precise, unbiased algorithms that factor non-homogeneity and transparency into full account.

Accurate and beneficial analysis of universal social dynamics is only possible with a constant stream of data, and one that reflects the human completely. More concretely, within each geographical ecosystem, humans possess a particular set of needs that can vastly differ from a neighboring territory. Diverse populations will produce distinct datasets that will serve as inputs for advancement on both a local and global level. The augmentation of the population on a smaller scale will serve as a feedback loop mechanism for societal advancement on a larger scale, thus reflecting the self-organization involved with analyzing global social dynamics vis-à-vis eAI. However, without proper accountability of diverse inputs promulgated by ethical/responsible AI and XAI in conjunction with real-time information flow, AI will fail to evolve at optimality in accordance with the human, and ultimately delay progress on the people-centric digitalization front.

For the reasons stated above, eAI serves as the ultimate factor in unlocking a true human-centric society. eAI calls upon the combination of ethical/responsible and XAI methods to work in tandem along with real-time social dynamics analytics to understand core human needs. Therefore, Ethnographic AI approach is the most comprehensive of all artificial intelligence implementations, and is a necessary structure of the world of tomorrow.

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