Track Overview
This track explores how open-source AI technologies—such as large language models (LLMs), behavioral analytics, and interoperable APIs—are enabling secure, ethical, and scalable innovation across finance, healthcare, e-commerce, and the public sector. With an emphasis on fraud detection, risk mitigation, and trust-building, this track brings together cross-disciplinary voices to showcase how AI grounded in openness can transform infrastructure and governance across industries.
Track Objectives
- Highlight real-world applications of open-source AI tools (e.g., LLaMA, DeepSeek, Hugging Face)
- Examine fraud and risk challenges across sectors and how AI mitigates them
- Explore explainability, fairness, and regulatory readiness in open AI systems
- Foster academia–industry partnerships in developing responsible AI
- Promote open standards, transparency, and data interoperability
Track Chair
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Naren Chandra, PhD Technical Product Manager Fact Finders Pro, USA |
Session I
DATE: Thursday, August 28, 2025
TIME: 9:00 A.M. – 12:00 P.M
VENUE: Highland Conference Room
THEME: Open AI and the Next Frontier
SPEAKERS:
Speaker 1: The Open-Source AI Revolution: LLMs Without Lock-In
Speaker 2: Building Trust Through Explainable and Auditable AI
Speaker 3: Responsible AI: Policy-Ready, Open, and Cross-Industry Aligned
ACTIVITY:
Panel Discussion – “From Research to Production: Operationalizing Open AI Across Industries”
Session II
DATE: Thursday, August 28, 2025
TIME: 1:30 P.M. – 4:30 P.M
VENUE: Highland Conference Room
THEME: Detecting Deception at Scale – AI for Fraud & Risk
SPEAKERS:
Speaker 1: AI-Powered Fraud Detection: From Rules to Real-Time Learning
Speaker 2: Adversarial Threats and System Vulnerability in Open Environments
Speaker 3: Bias and Fairness in AI-Based Risk Assessment
ACTIVITY:
Session Participants Discussion – “Accountable Automation: How Do We Design AI That Flags Right and Explains Well”
Please return soon, we will be adding the speaker details shortly.