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DTSTART;TZID=Europe/Stockholm:20260701T140000
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UID:submissions.pasc-conference.org_PASC26_sess117_msaSC106@linklings.com
SUMMARY:Enabling Trust, Transparency, and Accountability: A Blockchain and
  AI Framework for Transparent Toll Management
DESCRIPTION:Shahid Islam and Natasha Nigar (UET, Lahore, Pakistan)\n\nTran
 sparency, accountability, and trust are essential for AI systems deploymen
 t in public domains to ensure fair treatment and gain public trust. Manual
  toll collection and legacy RFID-based e-payment systems create significan
 t challenges including long queues, inconsistent treatment, revenue leakag
 e,  and eroded stakeholder trust. These systems also lack accountability a
 nd transparency. This talk presents an integrated approach to building a t
 rustworthy AI system for road toll management leveraging real time image p
 rocessing on high performance GPUs and blockchain technology. The automate
 d system enables administrators and users to verify all transactions, crea
 ting an auditable trail that enhances accountability and reduces opportuni
 ties for bias or fraud. By combining high-performance computing with distr
 ibuted ledger technology, the system improves operational efficiency while
  ensuring transaction transparency and protecting sensitive driver informa
 tion through cryptographic security measures.\n\nKeywords: Artificial Inte
 lligence, Machine Learning, Image Processing, High Performance Computing, 
  Road Toll Management, Blockchain\n\nDomain: Climate, Weather, and Earth S
 ciences, Applied Social Sciences and Humanities, Engineering, Computationa
 l Methods and Applied Mathematics\n\nSession Chair: Tobias Hodel (Universi
 ty of Bern, Switzerland)\n\n
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