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.
Keywords
Human-intensive problems, Democratic knowledge management, KM-HC workflow, Human computation systems
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
Recommended Citation
Shaikh, D. (2017). Invited 5: A framework for Democratic Knowledge Management using Crowdsourced Human Computation. International Conference on Information and Communication Technologies. Retrieved from https://ir.iba.edu.pk/icict/2017/2017/21
COinS
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.
