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Wisdom

(Also see knowledge, shamanism and other keywords)

Our definition

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  • We define wisdom as the diversity of working knowledges that sustains our web of living systems.
    • This broad definition of Wisdom encourages us to map many types of knowledge(including ignorance).
    • Donald Rumsfeld reminded us that our understanding of knowledge that includes unknown unknowns.
    • This idea derived from a larger map of possibilities that its inventors (Luft & Ingham, 1955) called the Johari Window (see below).

One White Bit Johari Window

Orthodox definitions

  • The Oxford English Dictionary defines wisdom from a presumptuous, humanist standpoint:
    • ''"...the capacity of judging rightly in matters relating to life and conduct; soundness of judgment in the choice of means and ends; sometimes, less strictly, sound sense, esp. in practical affairs: opp. to folly;"
    • It therefore narrows our vision by implying that wisdom is characteristically human: i.e. "Knowledge (esp. of a high or abstruse kind); enlightenment, learning, erudition."''
    • (see Wikiwand for other usage).

Can humans be wise?

  1. In the Enlightenment era, many thinkers became enamoured with the idea of genius
  2. The idea of wisdom as a more hypothetical and distributed map of knowledge is useful, as it reminds us that individual knowledge is always partial.
  3. It may therefore encourage us to re-map management systems to reduce our dependence on individual leaders.
  4. It challenges the focus on individual performance that is central to academic assessment.
    • Francis Galton (1822–1911) discovered that decisions/choices made by crowds can be superior to those of individual experts (Miner, 2005).
  5. We value it because it acknowledges our knowledge whilst acknowledging our lack of it.

An ecological perspective

  1. In an era where populist politics puts so much emphasis on the messianic whims and judgements of individual leaders, perhaps we need a less anthropocentric notion of wisdom.
  2. By adopting a more systemic approach, the importance of conventional (i.e. individual) wisdom is reduced and the question of consciousness becomes more important.
  3. In this regard, the quality of connectedness throughout the system is more important than having local zones of very high intelligence.
    • Marx's notion of alienation is helpful in that it can be seen as a (negative) aspect of our definition of wisdom.
    • For a broader, more ecological notion of wisdom, see Jakob von Uexküll's use of the term 'Umwelt', (Ingold, 2011, p. 64) described in the article Relanguaging the Creative (Wood, 2013).

Who would benefit?

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    • One White Bit Q: Who will be the learners? One White Bit A: All of us
    • One White Bit Q: Who will be the stakeholders? One White Bit A: Nature and the unborn
    • One White Bit Q: When will the benefits show? One White Bit A: NOW....and long after you and I are gone

Why is wisdom unfashionable?

  • Why do few universities mention wisdom as part of their learning outcomes? (c.f. Maxwell, 1984)
  • Perhaps because it is less definable, quantifiable and measurable than information or knowledge.
  • Our definition of wisdom also relates to other terms, such as miracles, luck and contagious optimism.

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Artificial wisdom?

  • There is growing excitement about the ability of Artificial Intelligence to emulate human behaviour convincingly.
  • Discussions often mention the quantity, rapidity and convincing nature of data, rather than the quality of knowing.
  • Using our definition of wisdom (i.e. "...the diversity of working knowledges that sustains our web of living systems") suggests that AI could become part of human wisdom, but there is an important caveat, here:
  • AI systems work by processing large quantities of secondary data (i.e. as alphanumeric texts).
  • Their 'intelligence' works by (averaging) mechanical responses to previous situations, rather than evaluating new ones.
    • (AI systems cannot process direct (e.g. tacit) knowledge as they have no bodily sensors or organs).
    • It will be crucially important to develop other modes of learning to compensate for these serious shortcomings.
    • See whole learning

Further reading

  • Downes, S., 2022. Connectivism. Asian Journal of Distance Education, 17(1)
  • Ehrig, T. and Foss, N.J., 2022. Unknown unknowns and the treatment of firm-level adaptation in strategic management research. Strategic Management Review, 3(1), pp.1-24.
  • Katzenbach, J.R. and Smith, D.K., 2015. The wisdom of teams: Creating the high-performance organization. Harvard Business Review Press.
  • Maxwell, N., 1984. From knowledge to wisdom: A revolution in the aims and methods of science.
  • Miner, T., 2005. The wisdom of crowds: why the many are smarter than the few, and how collective wisdom shapes business, economies, societies, and nations. The Journal of Experiential Education, 27(3), p.351.
  • Wood & Backwell, 2012, Harnessing Hidden Knowledge: in order to catalyse paradigm change
  • Wood, J. 2018, Re-inventing Invention, Sublime Magazine, (see original article), 10th October 2018
  • Zednik, C., 2021. Solving the black box problem: A normative framework for explainable artificial intelligence. Philosophy & technology, 34(2), pp.265-288.

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