Polanyi's paradox, named in honor of the philosopher and polymath Michael Polanyi, states that "we know more than we can tell."[1] He means that most of our knowledge is tacit and cannot be easily formalized with words.[2] In The Tacit Dimension, Polanyi gives the example of recognizing a face without being able to tell what facial features humans use to make such a distinction. The example describes Gestalt psychology which emerged in the early twentieth century as a theory of perception that rejected the basic principles of elementalist and structuralist psychology as well as functionalist and behavioralist theories of the mind. Gestalt theory emphasizes that conscious humans perceive entire patterns or configurations, not individual components, and cannot always explain what they know. Consider the ancient Chinese game Go, where nobody can define a good move.

Privacy protection has recently attracted the attention of both academics and industries. Society protects individual data privacy through complex legal frameworks. This has become a topic of interest with the increasing applications of data science and artificial intelligence that have created a higher demand to the ubiquitous application of the data. The privacy protection of the broad Data-InformationKnowledge-Wisdom (DIKW) landscape, the next generation of information organization, has not been in the limelight. Next, we will explore DIKW architecture through the applications of popular swarm intelligence and differential privacy. As differential privacy proved to be an effective data privacy approach, we will look at it from a DIKW domain perspective. Swarm Intelligence could effectively optimize and reduce the number of items in DIKW used in differential privacy, this way accelerating both the effectiveness and the efficiency of differential privacy for crossing multiple modals of conceptual DIKW. The proposed approach is proved through the application of personalized data that is based on the open-sourse IRIS dataset. This experiment demonstrates the efficiency of Swarm Intelligence in reducing computing complexity.