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Ethics, values, and personal agents: poster

Published: 10 April 2018 Publication History

Abstract

We address the problem of designing privacy-preserving ethical personal agents that understand and act according to their users' preferred values and ethical principles, and provide a satisfying social experience to all their stakeholders.

References

[1]
Nirav Ajmeri, Pradeep K. Murukannaiah, Hui Guo, and Munindar P. Singh. 2017. Arnor: Modeling Social Intelligence via Norms to Engineer Privacy-Aware Personal Agents. In Proceedings of the 16th International Conference on Autonomous Agents and Multiagent Systems (AAMAS). IFAAMAS, São Paulo, 230--238.
[2]
Francien Dechesne, Gennaro Di Tosto, Virginia Dignum, and Frank Dignum. 2013. No smoking here: values, norms and culture in multi-agent systems. Artificial Intelligence and Law 21, 1 (01 Mar 2013), 79--107.

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Information & Contributors

Information

Published In

cover image ACM Other conferences
HoTSoS '18: Proceedings of the 5th Annual Symposium and Bootcamp on Hot Topics in the Science of Security
April 2018
163 pages
ISBN:9781450364553
DOI:10.1145/3190619
  • General Chairs:
  • Munindar Singh,
  • Laurie Williams,
  • Program Chairs:
  • Rick Kuhn,
  • Tao Xie
Permission to make digital or hard copies of part or all of this work for personal or classroom use is granted without fee provided that copies are not made or distributed for profit or commercial advantage and that copies bear this notice and the full citation on the first page. Copyrights for third-party components of this work must be honored. For all other uses, contact the Owner/Author.

Sponsors

  • National Security Agency: National Security Agency

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Association for Computing Machinery

New York, NY, United States

Publication History

Published: 10 April 2018

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Author Tags

  1. ethics
  2. personal agents
  3. social norms
  4. values

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  • Poster

Conference

HoTSoS '18
Sponsor:
  • National Security Agency
HoTSoS '18: Symposium and Bootcamp
April 10 - 11, 2018
North Carolina, Raleigh

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Overall Acceptance Rate 34 of 60 submissions, 57%

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