Moral Bias

Moral bias in artificial intelligence, particularly large language models (LLMs), is a burgeoning research area focused on identifying and mitigating unfair or discriminatory outputs stemming from biases in training data and model architecture. Current research investigates how LLMs reflect and amplify existing societal biases across different languages and cultures, employing various techniques including analyzing model responses to ethical dilemmas and comparing them to human judgments from diverse groups. Understanding and addressing these biases is crucial for ensuring fairness, transparency, and ethical deployment of AI systems across various applications, ranging from content moderation to decision-support tools.