A quotation from Shakespeare's play King Lear, ‘I will teach you differences’, encapsulates the spirit of this paper. The distinction is introduced between three different categories of knowledge: i) propositional knowledge, ii) skill or practical knowledge and iii) knowledge of familiarity. In the present debate on ‘Information Society’, there is a clear tendency to overemphasise the theoretical knowledge at the expense of practical knowledge thereby completely ignoring the knowledge of familiarity. It is argued that different forms of theoretical knowledge are (...) required for the design of current computer technology and the study of the practice of computer usage. The concept of dialogue and the concept of ‘To Follow a Rule’ therefore fundamental to the understanding of the practice of computer usage. (shrink)

What is ‘certainty’ in our everyday life and work? AI changing what it means to ‘be certain’. For example, when we engage with others and are doing our work, we make judgments in which we ‘trust our instinct’. Are we still able to do so if we engage with the ‘certainty’ of the machine? How is ‘being certain’ in ‘dialogue’ affected by our conceptions of what it means to be human in interaction with the ‘machine’, and consequent distinctions between body (...) and mind? Descartes first likened the human body to a machine (albeit a machine created by God) and endowed reason as being a transcendent universal instrument. La Mettrie proposed that language and culture separates humans from ‘animals’. However, in Diderot’s writing, ‘knowledge’ is seen as embodied, coming from our senses and language, and where gesture and rhythm evolve in practice. For D’Alembert, human ‘instinct’ is a skill, a learnt practice, and Rousseau believes that human certainty is something that cannot be measured. These questionings of the dichotomies of body and mind and human and animal, that relate practice and knowledge, also question the place and meaning of ‘rules’ of engaged practice. For Wittgenstein, one learns to make judgments through personal experience, ‘rules in practice’, whereby language is necessarily culturally situated and embodied, and calculation and Judgement are part of each other. (shrink)

How are risks and disasters prevented in high-technology environments? This is a question that has many facets. In this essay I shall discuss the aspects related to the history of knowledge, and to tacit knowledge in particular.

The article gives accounts of case study work in the field of Skill and Technology, whereby dialogue is developed as a tool to stimulate innovation in industrial, community and creative contexts. The work has been conducted at the Royal Institute of Technology in association with the National Institute for Working Life and the Dialogue Seminar of the Royal Dramatic Theatre, Stockholm. It includes both accounts of practice and theoretical reflections, drawing on a European cultural context.

soft servants of durable material: they live without pretension in complicated relays and electrical circuits. Speed, docility are their strength. One asks: “What is 2 × 2?”—“Are you a machine?” They answer or refuse to answer, depending on what you demand. There are, however, other machines as well, more abstract automatons, bolder and more inaccessible, which eat their tape in mathematical formulae. They imitate in language. In infinite loops, farther and farther back in their retreat towards more subtle algorithms, more (...) recursive functions. They are logical and describe themselves. As when a man with a hand-mirror pressed against his nose in front of a mirror sees in infinite rows the same image multiplied in a shrinking, darkening corridor of glass. It is a Gödel theorem as good as any. He sees infinity, but what he does not see is his face. (From Göran Printz-Påhlson´s poem “The Turing Machine” published in Säg minns du skeppet Refanut? Samlade dikter 1950–1983 (1984) Bonniers, Stockholm). (shrink)