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ORGANIZER;CN="Eulenfeld, Menda":mailto:menda.eulenfeld@tamucc.edu
ATTENDEE;ROLE=OPT-PARTICIPANT;PARTSTAT=NEEDS-ACTION;RSVP=TRUE;CN="Starek, Mi
 chael via Cs-phd-student":mailto:cs-phd-student@listserv.tamucc.edu
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ATTENDEE;ROLE=OPT-PARTICIPANT;PARTSTAT=NEEDS-ACTION;RSVP=TRUE;CN="Eulenfeld,
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DESCRIPTION;LANGUAGE=en-US:ADVANCING USABLE PRIVACY AND DATA MINIMIZATION T
 HROUGH AUTOMATED NEGOTIATION WITH AI AGENTS\nA research proposal prepared 
 by JACOB HOPKINS\n\nData underpins many of today’s innovations such as a
 rtificial intelligence. The United States has not presented cohesive legis
 lation to safeguard the digital privacy of its citizens. Consequently\, th
 e creation of these new technologies has increased the privacy risks for m
 uch of the US population. The use of surveillance and data collection syst
 ems by public and private entities has increased. The data collected by th
 ese systems is often stored in poorly secured databases that are vulnerabl
 e to cyber-attacks and data leaks. The current privacy framework\, “Noti
 ce and Consent”\, that governs the volunteered data collection scenario 
 has several issues: lack of meaningful transparency\, a scaling issue of p
 rivacy self-management\, and a power imbalance between data subjects and d
 ata requesters. Together\, these issues underscore the need for new data p
 rivacy frameworks and technologies. Therefore\, this proposal investigates
  the design and development of a new privacy-enhancing technology (PET) us
 ing automated negotiation techniques. The proposed system will enable data
  subjects and data requesters to use AI agents to negotiate data practices
  on their behalf during these collection events. This work focuses on thre
 e key objectives to advance negotiation-based PETs: 1) investigating the p
 erspectives of data subjects and data requesters on privacy issues and pri
 vacy tools to identify key design requirements for the proposed system\; 2
 ) development of a negotiation harness for LLM agents\; 3) in-situ testing
  of the proposed system to validate its design and identify key usability 
 design principles for automated negotiation systems. Collectively\, these 
 contributions aim to support the creation of new usable privacy technologi
 es.\n\n
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SUMMARY;LANGUAGE=en-US:Research Proposal - ADVANCING USABLE PRIVACY AND DAT
 A MINIMIZATION THROUGH AUTOMATED NEGOTIATION WITH AI AGENTS 
DTSTART;TZID=Central Standard Time:20260821T130000
DTEND;TZID=Central Standard Time:20260821T160000
CLASS:PUBLIC
PRIORITY:5
DTSTAMP:20260811T201636Z
TRANSP:OPAQUE
STATUS:CONFIRMED
SEQUENCE:0
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