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Related Concept Videos

Issues And Trends In Healthcare Delivery System01:29

Issues And Trends In Healthcare Delivery System

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The issues and trends in healthcare delivery are constantly changing. The COVID-19 pandemic is one recent issue that wreaked havoc on healthcare systems, causing a shortage of healthcare workers, high demand for medicines and supplies, and increased medical expenditure due to a lack of insurance. Other issues include rising healthcare costs and care fragmentation.
Cost Containment
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Sources of Law01:26

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Energy and Power Signals01:17

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Electron Carriers01:24

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Decision Making: Traditional Method01:14

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Related Experiment Video

Updated: Jan 14, 2026

Evidence-based Knowledge Synthesis and Hypothesis Validation: Navigating Biomedical Knowledge Bases via Explainable AI and Agentic Systems
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Evidence-based Knowledge Synthesis and Hypothesis Validation: Navigating Biomedical Knowledge Bases via Explainable AI and Agentic Systems

Published on: June 13, 2025

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AI-powered digital arbitration framework leveraging smart contracts and electronic evidence authentication.

Ping Han1

  • 1International Law, Law School of Shenzhen University, Shenzhen, 518000, China. funeveryday2025@163.com.

Scientific Reports
|October 24, 2025
PubMed
Summary

This study introduces an AI-powered digital arbitration framework using smart contracts and blockchain for secure evidence. The system significantly reduces arbitration time and provides accurate, explainable decisions for modern legal needs.

Related Experiment Videos

Last Updated: Jan 14, 2026

Evidence-based Knowledge Synthesis and Hypothesis Validation: Navigating Biomedical Knowledge Bases via Explainable AI and Agentic Systems
05:47

Evidence-based Knowledge Synthesis and Hypothesis Validation: Navigating Biomedical Knowledge Bases via Explainable AI and Agentic Systems

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Area of Science:

  • Computer Science
  • Artificial Intelligence
  • Blockchain Technology

Background:

  • Digital transactions necessitate efficient, secure dispute resolution.
  • Traditional arbitration struggles with digital evidence and smart contracts.
  • Need for automated, transparent legal processes.

Purpose of the Study:

  • To develop a novel AI-powered digital arbitration framework.
  • To integrate smart contracts, blockchain, and explainable AI (XAI).
  • To automate and modernize dispute resolution for digital environments.

Main Methods:

  • Developed a three-layer framework: smart contract agreement, blockchain evidence management, and AI arbitration engine.
  • Utilized transformer and LSTM models with SHAP and LIME for AI interpretability.
  • Conducted experiments on Ethereum and Hyperledger Fabric testnets with 1,200 cases.

Main Results:

  • Achieved a 99.5% reduction in arbitration time.
  • Demonstrated a 92.4% agreement rate between AI and expert rulings.
  • Showcased 99% accuracy in tampering detection and 87.3% interpretability of AI decisions.

Conclusions:

  • The AI framework delivers fast, accurate, and explainable arbitration decisions.
  • The system complies with legal standards for digital governance.
  • Provides a blueprint for autonomous arbitration in smart contracts and e-commerce.