If you are a software provider dealing with doctors who distrust AI diagnoses — this project developed a Trustworthiness Optimisation Platform that allows clinicians to provide feedback and align AI decisions with medical ethics.
AI Trustworthiness Platform for Ethical and Compliant Human-AI Decision Making
Imagine an AI assistant that doesn't just give an answer, but explains its reasoning in a way that matches your personal values. It's like having a digital auditor that constantly checks if the AI is being fair and honest. If the AI makes a mistake, you can talk to it to correct its behavior for next time.
What needed solving
Companies struggle to prove their AI is fair and transparent, making it hard to comply with the EU AI Act. Non-experts currently lack tools to understand or challenge AI decisions, leading to a lack of trust in high-stakes sectors.
What was built
A Trustworthiness Optimisation Platform and a conversational agent for human-AI dialogue to improve AI ethics and transparency.
Who needs this
Who can put this to work
If you are a port operator dealing with complex autonomous traffic management — this project developed an AI-driven risk assessment approach that translates the EU AI Act into technical settings to ensure safe operations.
If you are a public agency dealing with the risk of AI bias in citizen services — this project developed a conversational agent that lets citizens and officials challenge AI decisions and pinpoint biases.
Quick answers
What is the cost or pricing model for this platform?
Based on available project data, no pricing or cost information is provided as this is a Horizon-RIA research project.
Can this be deployed at an industrial scale?
The project is designed for industrial application and is being piloted across 3 high-priority critical sectors to ensure it works in real-world environments.
How is the IP and licensing handled?
Based on available project data, specific licensing terms are not listed, but the project involves a consortium of 18 partners including 10 industry members.
Does this help with the EU AI Act?
Yes, it specifically translates the directions given in the Trustworthy AI Act and relevant standards into technical implementations.
How is the system integrated into existing workflows?
It uses a conversational agent to engage humans in dialogues that drive continuous improvement cycles for the AI system.
Who built it
The consortium is heavily industry-weighted with 10 industrial partners (56% ratio), including 5 SMEs. This strong commercial presence, spanning 10 countries, suggests the output is designed for immediate market relevance rather than purely academic exercise.
Contact MAGGIOLI SPA in Italy for partnership inquiries.
Talk to the team behind this work.
Contact us to explore how to integrate these trustworthiness tools into your AI pipeline.