15May
03Apr
Systematic Biases in Generative AI Models: The Hidden Influence of Design Decisions and Training Data
This article examines the multifaceted nature of biases in generative artificial intelligence systems, with particular emphasis on the significant yet often overlooked influence of developer-implemented guardrails. While biases inherited from training datasets have received substantial scholarly attention, this analysis argues that the intentional constraints, filters,...
12Mar