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Algorithmic Design for Hybrid Collective Intelligence (ADHEsIoN) 

Satellite of CCS 2017

Cancun, Mexico
20 September 2017

Summary

Across an increasingly broad spectrum of everyday life, artificial intelligence (AI) is challenging the utility of human intelligence. Yet modern AI often gains its power from exploiting big data resulting from human collective behaviors (e.g. web posting, crowdsourcing). Hence, while AI is often contrasted with human intelligence, both may be more synergistic than is usually admitted. We call for a reflection, on designs and processes that may oppose, or support, the intersection of AI and human intelligence, working towards an AI-enhanced, hybrid collective intelligence. 

Confirmed Speakers

Mirta Galesic
(Santa-Fe Institute; Max Planck Institute)
Carlos Gershenson (Universidad Nacional Autónoma de México)
Jessica Flack (Santa-Fe Institute)

8

Keynote talks
Invited Talks
Contributed Talks

4

2

Full Day Satellite Meeting

Overview 

Individual decision making (e.g. choosing which email to read) has greatly benefited from the recent, pervasive use of machine learning in artificial intelligence (AI) applications (e.g. spam-mail tagging). Yet these advances have been harder to exploit in a collective context, where communities of individuals have to self-organize in order to achieve a set of (possibly evolving) objectives in a timely manner. As a result, centralized governance frameworks remain the default option for managing mediums of collective intelligence (e.g. teams, organizations). The goal of this satellite is to challenge this status quo by focusing on the application of machine learning to foster collective intelligence at scale while controlling for undesirable emergent behaviors. The underlying ethos of the event will be inclusive, problem-driven and solution-oriented.

 

Don't forget to check out the 'Benefits for Participants' page as well !

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Call for Abstracts

We invite abstracts (~500 words; 1 Figure) for oral presentations (~20 min.) of work that address relevant challenges across a range of socio-technical domains including, but not limited to:​

  • Human-Computer Interaction: Elicit and aggregate information from online activity (e.g. user reputation) for various operations (e.g. online rating system) whilst dealing with ambiguity (e.g. self-contradictions, missing data) and malicious manipulations (e.g. spamming);

  • AI-supported Team Collaboration: AI to promote smart pairing between individuals, tasks and resources, whilst preserving some control over the time of delivery; curating group dynamics for enhanced synchronicity and productivity whilst maintaining transparency;

  • Collective learning: Identify and exploit insight from past operations to support future actions (e.g. project bidding) whilst identifying and eliminating outliers in a robust, evidence-based way;  

  • Collective Decision Making: Promote enhanced collective decision making by exploiting the effect of simple rules on social network structures whilst avoiding discriminating effects;  

  • Organizational Design: Organizations designed such that they promote enhanced collective functions (e.g. social learning, culture) whilst preserving accountability and auditability;

  • Rumor Propagation within Social/Collaborative Platforms: Maintaining their self-organized nature, whilst restricting the diffusion of falsehoods and emergence of ‘echo chambers’;

  • Science of Science: Using modern bibliographic data to identify fruitful research trajectories and develop robust productivity measures, whilst reducing the marginalization of underrepresented groups; 

  • Open Science: Promote the reuse, redistribution and reproduction of research, whilst maintaining appropriate attribution of credit and rigor;

 

Pervasive theoretical challenges across these exemplar domains include: 

  • Regulating self-organization of the collective in an auditable way;

  • Generating value from dormant information; 

  • Prediction and intrinsic limitations;

  • Big vs. Useful Data;

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Abstracts submission is now closed!

The Satellite

20 September 2017
09:00 am
Speakers

About CCS 2017

Conference on Complex Systems (CCS) is the official annual conference of the Complex Systems Society (http://cssociety.org/home). The conference is interdisciplinary in nature, focusing on understanding how elements interact to give rise to global properties, along with how global properties can constrain these elements.

 

The Conference on Complex Systems will convene in September 17-22, 2017 in Latin America for the first time.

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