London, United Kingdom–(Newsfile Corp. – October 11, 2025) – RIQZ, a pioneer in artificial intelligence innovation, has announced the release of its True Random AI Engine, a major advancement in decision intelligence designed to eliminate algorithmic bias and establish a new standard of transparency and fairness in automated systems.
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For decades, artificial intelligence has operated within deterministic frameworks. Even when randomness is simulated, most AI systems depend on pseudo-random algorithms – sequences that appear random but are ultimately predictable. This underlying predictability creates bias, repetition, and vulnerability within machine-driven decision processes. The RIQZ Real Random Decision Framework challenges this foundation by introducing authentic, entropy-based randomness derived from naturally unpredictable sources.
By replacing pseudo-random mechanisms with verified randomness, the RIQZ.com engine ensures that every decision is unique, unbiased, and verifiably independent. This represents a fundamental shift in how AI systems think and act, enabling outcomes that cannot be reverse-engineered, anticipated, or influenced by hidden variables.
The True Random AI Engine is designed to enhance decision-making across a broad range of technological and analytical environments.
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In autonomous systems, genuine randomness allows for adaptive, non-repetitive operations, creating greater resilience and flexibility.
RIQZ’s approach integrates multiple layers of randomization validation. Its system combines quantum-inspired entropy sources with continuous verification algorithms that monitor and certify each output for true randomness. This ensures that the generated data or decisions remain unpredictable and tamper-proof throughout the process.
This innovation extends beyond technology – it redefines the relationship between uncertainty and intelligence. Rather than treating randomness as an error to be controlled, RIQZ positions it as a structural feature of intelligent behavior. By incorporating randomness at a fundamental level, systems gain the ability to adapt, evolve, and make choices that are both independent and transparent.
