Engineering Blockchain Applications and AI-Blockchain Integration: Challenges, Solutions, and Future Directions

01 January 1970 0 9K Report

The convergence of Artificial Intelligence (AI) and Blockchain presents transformative opportunities across various domains, particularly in healthcare, cybersecurity, and IoT security. However, developing secure, ethical, and scalable AI-Blockchain applications requires addressing key challenges such as data privacy, transparency, explainability, and energy efficiency.

This discussion will explore:

Engineering Blockchain ApplicationsSecure software engineering approaches for blockchain applications. The role of blockchain in healthcare innovation with a focus on ethics and responsible AI adoption. Sustainable blockchain frameworks for healthcare and IoT security.

AI and Blockchain IntegrationAI-enhanced blockchain for automated decision-making and predictive analytics. Challenges in explainability and accountability in AI-driven blockchain applications. Privacy-preserving techniques for AI models utilizing blockchain technology.

Relevant Research Contributions

For an in-depth exploration of these topics, the following papers provide key insights:

Ethics of Blockchain by Design: A responsible framework for healthcare blockchain applications. Blockchain in Healthcare Today (BHTY), 2025.
IoT Security Challenges in High-End Equipment Fault Diagnosis: A secure software engineering perspective. IEEE IoT Journal TechRxiv, 2024.
AI and Blockchain Framework for Healthcare Applications: A model integrating AI and blockchain for healthcare innovation. Facta Universitatis Journal, 2024, DOI: 10.2298/FUEE2401169R.
Secure and Sustainable Software Engineering Framework for Healthcare Blockchain Applications (S3EF-HBCAs): Addressing security and sustainability in blockchain-based healthcare systems. International Journal of Blockchain in Healthcare Today (BHTY), 2023, DOI: 10.30953/bhty.v6.286.

We invite researchers and practitioners to engage in this discussion, sharing insights on best practices, innovative frameworks, and future research directions in AI and blockchain integration.

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