AI Bias and Unfair Forex Trading Practices AI has revolutionized forex trading by enabling faster decision-making, predictive analytics, and automation. However, like any technology, AI is prone to biases that can lead to unfair trading practices, disproportionately benefiting certain market participants while disadvantaging others. AI bias in forex trading can arise from flawed training data, algorithmic design flaws, or intentional manipulation by institutions. Below are some key areas where AI bias and unfair trading practices manifest. 1. Causes of AI Bias in Forex Trading A. Bias in Training Data AI models learn from historical forex market data, but if this data is biased or incomplete, the AI may develop skewed trading behaviors. • Example: If AI is trained mostly on bullish market conditions, it may struggle to adapt during prolonged bear markets or economic downturns. • Ethical Risk: AI may favor certain currency pairs or trading strategies, leading to distorted market behavior. B. Algorithmic Bias and Overfitting • Issue: AI models optimized for short-term profits