Title

Invited 5: A framework for Democratic Knowledge Management using Crowdsourced Human Computation

Abstract/Description

Human-intensive problems require human cognition based computational solutions. A new democratic Knowledge Management (KM) framework, called HUMA, is introduced for solving human-intensive problems using crowdsourced Human Computation (HC). This presentation builds upon the existing pervasive Internet culture of information sharing, proactive human interactions, and voluntarily acquired collective intelligence. The design of three Information System artifacts contributed include: KM-HC Workflows, KM-HC tasks, and Crowd4Know crowdsourcing platform. KM-HC workflow is the human-intensive computational workflow that describes a complex solution as a series of KM-HC tasks. KM-HC tasks extends existing HC tasks for knowledge management. Crowd4Know crowdsource KM-HC workflows to communities of citizen human workers. It is shown that HUMA framework facilitates human workers as requestors, executors and beneficiaries of community and civic innovations.

We give insights into the design of future human computation systems. It makes tangible the traditional KM concepts of knowledge space and communities using Crowd4Know platform. Further, it is discussed that human decision-making patterns captured in HUMA justify a new class of machine algorithms. These algorithms are usable, without human involvement, in control environments where safely of human life is paramount or to take human-like decisions in resolving ethical issues.

Location

Theatre 1, Aman Tower

Session Theme

Keynote/Invited Session II

Session Type

Other

Start Date

31-12-2017 12:30 PM

End Date

31-12-2017 1:00 PM

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Dec 31st, 12:30 PM Dec 31st, 1:00 PM

Invited 5: A framework for Democratic Knowledge Management using Crowdsourced Human Computation

Theatre 1, Aman Tower

Human-intensive problems require human cognition based computational solutions. A new democratic Knowledge Management (KM) framework, called HUMA, is introduced for solving human-intensive problems using crowdsourced Human Computation (HC). This presentation builds upon the existing pervasive Internet culture of information sharing, proactive human interactions, and voluntarily acquired collective intelligence. The design of three Information System artifacts contributed include: KM-HC Workflows, KM-HC tasks, and Crowd4Know crowdsourcing platform. KM-HC workflow is the human-intensive computational workflow that describes a complex solution as a series of KM-HC tasks. KM-HC tasks extends existing HC tasks for knowledge management. Crowd4Know crowdsource KM-HC workflows to communities of citizen human workers. It is shown that HUMA framework facilitates human workers as requestors, executors and beneficiaries of community and civic innovations.

We give insights into the design of future human computation systems. It makes tangible the traditional KM concepts of knowledge space and communities using Crowd4Know platform. Further, it is discussed that human decision-making patterns captured in HUMA justify a new class of machine algorithms. These algorithms are usable, without human involvement, in control environments where safely of human life is paramount or to take human-like decisions in resolving ethical issues.