Group-in-the-loop: Architecture for Harnessingand Creating Collective Intelligence

نویسندگان

  • Sayed Nafiz Haider
  • Su-Cheng Haw
  • Fang-Fang Chua
چکیده

As pervasive computing is becoming more pervasive and new ways to collaborate are emerging, humans and algorithms are cocreating “Collective intelligence”. Moreover, human can deliver at points where automatic machine learning algorithms fail. In the light of this context, the need for new tools and techniques is becoming apparent to harness the collective intelligence more effectively. In this paper, we investigate different approaches to utilize the collective intelligence in computer aided collaborative works. We reviewed recent works on the human-in-the-loop approach to artificial intelligence and proposed an architecture that uses scaled up version of human-in-the-loop approach, “Group-in-the-loop”.

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تاریخ انتشار 2017