If trained on skewed data, AI forex models risk perpetuating biases. A 2024 study found EUR-centric algorithms underperformed on Asian pairs like SGD/KRW by 9%. Solutions? Diversify training datasets and implement fairness audits. Leading platforms now crowdsource data from 150+ countries to balance AI predictions. How can we ensure algorithmic equity in forex? Debate responsibly at #CurrencyPairPrediction & #AIImpactOnForex. Best critique wins a bias-detection toolkit!