1. Algorithmic Bias and Transparency In late 2024, the AI community was deeply concerned about algorithmic bias and the lack of transparency in AI decision-making. High-profile cases of biased outcomes in hiring, lending, and law enforcement led to calls for greater accountability and explainability in AI systems. By early 2025, significant progress had been made: new

Read more →