The Data-Information-Knowledge-Wisdom Hierarchy

I haven’t thought too deeply about this in what feels like a hundred years, but somehow the DIKW pyramid reared it’s head when talking to the kids about Youtube and all the fake crap on social media.

The real problem isn’t the DIKW’s hijacking of the word “knowledge” but its implication that knowledge derives from filtering information. It doesn’t. We can learn some facts by combing through databases. We can see some true correlations by running sophisticated algorithms over massive amounts of information. All that’s good.

But knowledge is not a result merely of filtering or algorithms. It results from a far more complex process that is social, goal-driven, contextual, and culturally-bound. We get to knowledge — especially “actionable” knowledge — by having desires and curiosity, through plotting and play, by being wrong more often than right, by talking with others and forming social bonds, by applying methods and then backing away from them, by calculation and serendipity, by rationality and intuition, by institutional processes and social roles. Most important in this regard, where the decisions are tough and knowledge is hard to come by, knowledge is not determined by information, for it is the knowing process that first decides which information is relevant, and how it is to be used.

Problems with the Data-Information-Knowledge-Wisdom Hierarchy