Deploying Trustworthy AI

Driving Innovation with Trusted AI Solutions

Trustworthy AI (TAI) refers to the development and deployment of AI systems that are lawful, ethical, and robust. It ensures that AI technologies are designed and implemented in a way that upholds fundamental rights, align with societal values, and operate reliably in real-world applications.

Why is TAI important for European Business?

Trustworthy AI is a competitive advantage especially for small and medium-sized enterprises (SMEs) and public sector organisations, because it:

Builds trust in AI

Trust is essential for all organisations, especially for SMEs and public sector institutions. In an AI-driven world, customers and stakeholders prefer businesses that use AI responsibly, ensure data protection, and follow ethical standards. Trustworthy AI reflects a company's commitment to compliance, fairness, and transparency, among others, strengthening customer relationships and fostering sustainable AI adoption.

Reduces AI-related Risks

AI systems can be prone to biases, inaccuracies, or unforeseen consequences. Trustworthy AI practices mitigate these risks by integrating robust testing, risk assessment, and continuous monitoring to prevent harm, enhance reliability, and protect business reputation.

How does DeployAI approach trustworthiness?

The DeployAI platform will provide a Trustworthy AI-on-Demand environment for building, training, and operating AI solutions while connecting users with the necessary tools, frameworks, and compliance resources. This contributes to an open, secure, and trusted AI ecosystem across Europe.

We will offer

A DeployAI Trustworthy AI (TAI) Quality Stamp, providing an indication of a European-compliant, Trustworthy AI solution that ensures AI assets are trustworthy, transparent, and compliant with European TAI principles.

The platform uses a staircase TAI taxonomy, guiding providers in communicating how they have built and assessed their AI solutions, while ensuring compliance with ethical and regulatory standards.

A set of Trustworthy AI services to support developers and providers in their responsible AI conduct.

These services are linked to:

  • Ongoing assessments related to AI risk classification under the AI Act.
  • Voluntary holistic self-assessment practices for AI trustworthiness.
  • Trustworthy AI testing frameworks to ensure reliability and fairness.
  • Trustworthy AI documentation practices to enhance transparency and accountability.

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