Crowds, Computation, and the Future of Work
Can computation amplify our ability to achieve complex collective goals? Today’s techniques in areas such as crowdsourcing often fall short of this vision, in large part because their architecture is based on workflows, which are so inflexible that they can only be used for simple and modular goals. In this talk, I offer an alternative architecture based on computational organizational structures, and demonstrate that this approach enables groups to flexibly collaborate toward complex and open-ended goals such as product design, software engineering, and top-tier research. I will introduce techniques that fluidly assemble flash organizations and continuously adapt their efforts, evolve team structures and membership over time, and coordinate volunteers around the world in pursuing open-ended research. This research argues for a shift away from crowdsourcing as simple microtasks, wiki edits, or competitions, and toward computational systems that proactively aid groups in working together nimbly, reactively, and effectively toward complex goals.
- 日期:
- 演讲者:
- Michael Bernstein
- 所属机构:
- Stanford University
系列: Microsoft Research Talks
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Decoding the Human Brain – A Neurosurgeon’s Experience
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- Ivan Tashev
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Galea: The Bridge Between Mixed Reality and Neurotechnology
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- Conor Russomanno
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Challenges in Evolving a Successful Database Product (SQL Server) to a Cloud Service (SQL Azure)
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- Phil Bernstein
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Improving text prediction accuracy using neurophysiology
Speakers:- Sophia Mehdizadeh
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DIABLo: a Deep Individual-Agnostic Binaural Localizer
Speakers:- Shoken Kaneko
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Recent Efforts Towards Efficient And Scalable Neural Waveform Coding
Speakers:- Kai Zhen
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Audio-based Toxic Language Detection
Speakers:- Midia Yousefi
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From SqueezeNet to SqueezeBERT: Developing Efficient Deep Neural Networks
Speakers:- Sujeeth Bharadwaj
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Hope Speech and Help Speech: Surfacing Positivity Amidst Hate
Speakers:- Monojit Choudhury
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'F' to 'A' on the N.Y. Regents Science Exams: An Overview of the Aristo Project
Speakers:- Peter Clark
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Checkpointing the Un-checkpointable: the Split-Process Approach for MPI and Formal Verification
Speakers:- Gene Cooperman
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Learning Structured Models for Safe Robot Control
Speakers:- Ashish Kapoor
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