analiza aiqbench

The article explores how decision-making models, including those based on Jev's framework, remain vulnerable to prompt injection attacks despite being free of standard typing errors. This highlights a critical gap in AI safety where logical reasoning or economic modeling can still be subverted by adversarial inputs rather than data corruption. For practitioners building robust systems, it underscores that input validation must extend beyond syntax checking to include semantic integrity against manipulation attempts.