An AI audit is a systematic evaluation of artificial intelligence systems. It's crucial for ensuring AI's responsible development and deployment, especially in legal contexts.
Algorithmic accountability is the practice of ensuring that artificial intelligence systems operate fairly, transparently, and responsibly. It addresses the growing need to understand, evaluate, and govern the impact of automated decision-making processes.
The General Data Protection Regulation (GDPR) is a landmark data privacy law enacted by the European Union, establishing stringent rules for processing personal data. It grants individuals significant control over their data and imposes robust obligations on organizations.
The EU AI Act is the world's first comprehensive legal framework for artificial intelligence, focusing on a risk-based approach to AI governance. It aims to ensure AI systems are safe, transparent, and human-centric while fostering innovation within the EU.
They say you don't get a second bite at the apple. Except, apparently, if you're a patent challenger at the USPTO. This isn't strategy; it's structural rot.