This guest post from Alegion explores the reality of machine learning bias and how to mitigate its impact on AI systems. Artificial intelligence (AI) isn’t perfect. It exists as a combination of ...

Artificial Intelligence (A.I.) systems can inherit biases from the data they are trained on, reflecting human cognitive biases such as implicit bias, data bias, algorithmic bias, and sampling bias.

We often think of bias as a flaw that needs to be purged. It’s not. It’s a cognitive shortcut that we need to fine-tune. We are constantly bombarded by shapes, colours, sounds and smells. Even though ...

Source: Walther, Claude. 2025 Artificial intelligence is used to generate everything from news articles to marketing copy. This pervasive AI influence comes with a troubling pattern: AI systems ...