// MODEL OPTIMIZATION AND PROMPT SYNTAX TERM
Trustworthy AI
AI systems that are reliable, safe, fair, transparent, and respect privacy, making them dependable for users and society.
TECHNICAL DEFINITION
Trustworthy AI denotes artificial intelligence systems characterized by adherence to ethical principles and technical robustness, encompassing attributes such as reliability, safety, fairness, transparency, explainability, privacy, security, and accountability, ensuring that AI systems are beneficial and dependable for human users and society.
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
- Ethical AI
- Responsible AI
- Reliable AI
- Safe AI
USAGE NOTE
The goal of many AI development initiatives is to build trustworthy AI that society can confidently adopt.
DEVELOPERS
Organizations developing technology related to Trustworthy AI.
Google is a leader in AI research and development, with significant initiatives in Responsible AI, AI Principles, and AI Safety, focusing on fairness, interpretability, and robust AI systems.
Microsoft has a comprehensive Responsible AI program, providing tools, guidelines, and best practices for developers to build and deploy AI systems that are fair, reliable, transparent, and secure.
IBM focuses on enterprise-grade AI governance and trustworthiness, offering platforms and toolkits like AI Explainability 360 and AI Fairness 360 to help organizations manage, monitor, and build responsible AI.
Anthropic is an AI safety and research company dedicated to building reliable, interpretable, and steerable AI systems, with a core focus on safety and alignment for advanced AI.
NIST develops measurement science, standards, and guidelines for artificial intelligence, including the AI Risk Management Framework, to promote the development and use of trustworthy AI.
Stanford HAI conducts interdisciplinary research focused on guiding the development and use of AI to benefit humanity, including critical work on AI ethics, fairness, and trustworthy AI design.
PwC provides consulting services to help organizations develop and implement ethical AI frameworks, governance models, and robust engineering practices to ensure their AI systems are trustworthy and compliant.
The European Commission is actively shaping global standards for trustworthy AI through its proposed AI Act and guidelines, aiming to ensure AI systems are human-centric, ethical, and robust.