kaal:position:2026-07-31-5871
AI and DeFi Integration: Algorithmic Bias, Black-Box Opacity, and Regulatory Challenges presents the following source proposition: It analyzes how biased training data perpetuates discrimination in financial applications, while opaque AI models hinder bias detection and auditability, amplifying market volatility and systemic risks. This proposition is pertinent to Kaal's source-bound claim that The EU AI Act classifies AI applications used in judicial proceedings as high risk because of their potential to affect fundamental rights such as due process and non-discrimination, and therefore subjects them to mandatory transparency, bias audits, and human oversight. The proposed response is an extension: the relationship should remain limited to the retrieved source proposition and the mapped Kaal claim unless fuller source review supports a broader conclusion.
ai-and-agentssystemic-riskrisk-and-incentiveshistorical-responsescholarly-literatureopenalex