• DocumentCode
    1708313
  • Title

    Ideas on authenticating humanness in collaborative systems using AI-hard problems in perception and cognition

  • Author

    McIntire, John P. ; Havig, Paul R. ; McIntire, Lindsey K

  • Author_Institution
    RHCV, Air Force Res. Lab., Wright-Patterson AFB, OH, USA
  • fYear
    2009
  • Firstpage
    50
  • Lastpage
    55
  • Abstract
    Collaborative applications including email, chat, file-sharing networks, blogs, and gaming are under constant threat of automated programs that are gaining access to, attacking, degrading, or otherwise disrupting the intended communications and interactions. Thus, an important issue in collaborative systems security is how to verify that a user is a human, and not a computer attempting to access the system for malicious purposes. We propose and discuss several AI-hard examples from perception and cognition that may be useful for distinguishing between human-level intelligence and artificial intelligence.
  • Keywords
    artificial intelligence; cognition; groupware; security of data; AI-hard problems; artificial intelligence; cognition; collaborative system security; human-level intelligence; humanness authentication; perception; Artificial intelligence; Automatic testing; Cognition; Collaboration; Computer security; Databases; Humans; Military computing; Optical distortion; Protection;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Aerospace & Electronics Conference (NAECON), Proceedings of the IEEE 2009 National
  • Conference_Location
    Dayton, OH
  • Print_ISBN
    978-1-4244-4494-6
  • Electronic_ISBN
    978-1-4244-4495-3
  • Type

    conf

  • DOI
    10.1109/NAECON.2009.5426651
  • Filename
    5426651