TechCrunch

Research & Academic Publications

Peer-reviewed research, white papers, and technical analysis driving innovation in AI governance and decentralized systems.

Core Research Areas

Decentralized Governance

Empirical studies on blockchain-based regulatory frameworks and decentralized decision-making models.

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AI Ethics

Impact analysis of AI regulation, bias detection frameworks, and moral reasoning models in machine learning.

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Compliance Systems

Real-world implementation studies of regulatory frameworks across enterprise and startup ecosystems.

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Recent Academic Publications

Decentralized AI Governance Frameworks

Quarterly journal of AI policy - Volume 7, Issue 3

This study evaluates multi-jurisdictional compliance architectures in large language model deployment scenarios.

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Bias Detection in Autonomous Compliance Systems

International Conference on Regulatory AI, 2025

Quantitative analysis of decision-making biases in automated governance frameworks.

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Join the Research Community

We're actively seeking collaborations with academic institutions and industry researchers to advance the field of AI governance and blockchain integration.

Research Partnerships

  • Access to proprietary governance datasets
  • Joint research grants and funding
  • Co-development of governance test frameworks
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