The Knowledge Delusion
A Knowledge Café with David Gurteen
What is a Knowledge Café?
The Knowledge Café is a conversational process that brings a group of people together to share experiences, learn from each other, build relationships and make a better sense of a rapidly changing, complex world
The process is a simple one.
The participants sit in groups of 3 or 4 people at tables.
The speaker gives a short to the theme of the Café and then poses a question.
The participants then have three rounds of conversation around the theme and the question. At the end of each round, a few people change tables.
Finally, everyone comes together in a circle for a whole group conversation to share their thoughts and insights.
The outcomes of the Café: what you learn and the new relationships you form.
The Knowledge Café Theme: The Knowledge Delusion
We have built hugely complex societies and technologies, but most of us don't even know how a toilet works.
As individuals, we know almost nothing compared to what we think we know. Our personal knowledge is a delusion.
Most of our individual beliefs are not based on our personal experience or even our analysis of the evidence but are based on our trust or distrust of other people and institutions. Despite this, we argue and fight over our beliefs.
David will speak to the theme of this Knowledge Café and pose the question, "If as individuals we know so little, why do we fight so much?".
Intelligence, The Elusive Concept And General Capability Still Not Found in Machines
Defining intelligence has been one of the most controversial and studied challenges of both ancient and modern human thinking. In the Artificial Intelligence domain and related fields, how this concept is defined has influenced the way intelligent algorithms and systems have been conceived, designed, developed, deployed, used, and even hyped, historically. Yet, we remain asking and sometimes doubting, whether these artefacts are truly “intelligent” or not. This talk clarifies why they are not and what is still missing
KM in post pandemic times“KM unde venis-quo vadis?“
The contribution contains three main points adressing past, presence and future of KM. With regard to the past six phases of historical KM development are suggested, spanning from the origins of KM embedded in early concepts of organizational learning to current digitalization and cognitive computing approaches. The present of KM is adressed with a bibliographical analysis of the 28 most important journals on KM /IC (EBSCO and SCOPUS Database). In order to capture the focus of current research and publication activities, main content clusters are identified. Finally the authors suggest five fields of growing importance for KM research in the future.
The Culture and Community of Knowledge Sciences
Knowledge management as a discipline is at a critical junction. The discipline has evolved at the crossroads of several disciplines. Over the past sixty years, the community has attempted to adopt a holistic and inclusive definition of the discipline. In large measure the discipline is not yet a discipline, but a practice. It is still regarded by academic program directors as a “niche practice”. Over the past thirty years, we have suffered from a Ground Hog Day Syndrome – a continuous relearning and reiteration of the early ideas of practice. We have failed to advance to a higher level – to become a discipline of theory and one that is grounded in rigorous scientific process and thinking. A vision of knowledge sciences as a rigorous academic discipline, comprised of well developed and tested theory, and a range of applications and practices. A vision of knowledge sciences as supported by a comprehensive and regenerative learning culture, and a rich and inclusive community of researchers, developers, practitioners, consultants, educators and mentors, and learners. These are the critical enablers that grow a discipline. In this keynote, we will consider what we can each do to create a culture and a community that will transition knowledge management from a practice to a knowledge sciences discipline.