// MODEL OPTIMIZATION AND PROMPT SYNTAX TERM
EU AI Act
A new law in the European Union that sets rules for how artificial intelligence systems should be developed and used, focusing on safety and fundamental rights.
TECHNICAL DEFINITION
The EU AI Act is a landmark regulatory framework by the European Union establishing a risk-based approach to AI governance, categorizing AI systems by risk level (minimal, limited, high, unacceptable) and imposing corresponding compliance obligations, including transparency, data quality, and human oversight, to protect fundamental rights and safety.
BACKGROUND
Generative artificial intelligence (GenAI) is a subfield of artificial intelligence (AI) that uses generative models to generate text, images, videos, audio, software code or other forms of data. These models learn the underlying patterns and structures of their training data, and use them to generate new data in response to input, which often takes the form of natural language prompts.
READ MORE ON WIKIPEDIASYNONYMS & ALIASES
- European AI Law
- EU AI Regulation
- AI Act
- European Artificial Intelligence Act
USAGE NOTE
Companies deploying AI in the EU must comply with the EU AI Act's stringent requirements, especially for high-risk applications.
DEVELOPERS
Organizations developing technology related to EU AI Act.
Credo AI offers an AI governance platform designed to help organizations manage AI risk and ensure compliance with emerging regulations, including principles reflected in the EU AI Act, by providing tools for auditing, risk assessment, and policy enforcement across the AI lifecycle.
Arthur AI develops an AI observability platform that monitors AI model performance, fairness, and explainability. These capabilities are crucial for AI engineers to ensure their systems meet the transparency, robustness, and non-discrimination requirements outlined in regulations like the EU AI Act for high-risk AI systems.
Fiddler AI provides a Responsible AI platform focused on explainability, fairness, and performance monitoring. Their technology enables AI engineers to debug, validate, and govern models, helping to build and deploy AI systems that can demonstrate adherence to ethical guidelines and regulatory standards such as those proposed by the EU AI Act.
IBM offers comprehensive AI Governance solutions, including tools for managing the AI lifecycle, ensuring model explainability, detecting bias, and facilitating compliance with emerging AI regulations like the EU AI Act. Their technology helps enterprises build and manage trustworthy AI across their operations.
Microsoft is developing and integrating Responsible AI capabilities across its Azure AI services and developer tools. Their Responsible AI Standard and associated toolkits provide frameworks and technologies to help AI engineers build systems that align with ethical principles and regulatory requirements, including those anticipated by the EU AI Act.
Google is heavily invested in Responsible AI development, offering tools and frameworks within its AI platforms (e.g., Vertex AI) to help developers ensure fairness, explainability, and safety. These technologies aid in constructing AI systems that address key concerns of the EU AI Act regarding transparency, robustness, and human oversight.
Trustible provides a dedicated AI governance platform designed to help enterprises navigate the complexities of AI regulation and compliance, including the EU AI Act. Their technology assists organizations in building, deploying, and monitoring AI systems in a responsible and auditable manner.
Cortex AI offers an MLOps platform with a strong emphasis on responsible AI and governance. Their tools help organizations streamline the development, deployment, and monitoring of machine learning models while incorporating features for auditability and compliance that align with the requirements of regulations like the EU AI Act.