AI Bias: Understanding and Mitigating Risks in Machine Learning
Key Takeaways AI bias is the tendency of artificial intelligence systems to replicate real-world prejudices, or otherwise incorporate a skewed perspective. There are three main types of AI bias: Technical bias, emergent bias and pre-existing bias. There is a move from all AI regulators to encourage AI companies to mitigate the risks of AI bias. […]
ISO 42001 Standard: Ensuring AI Management System Excellence
Key Takeaways ISO 42001 is a new international standard governing the management of AI systems. It has evolved from the environmental management standard (ISO14001) to capture the specific challenges created by AI systems. Companies seeking certification under this standard need to ensure that they have robust AI risk management systems in place. Table of Contents […]
Conformity Assessments in the EU AI Act: Navigating the Compliance Landscape
Key Takeaways Risk-Based Categorization: Conformity assessments are most stringent for high-risk AI systems like those in critical infrastructure and law enforcement. Self-Assessment for Certain AI Systems: Low and minimal risk AI systems may undergo self-assessment for conformity. Third-Party Assessment Required: High-risk AI systems must undergo assessment by an independent third party or notified body. Ongoing […]