Imagine giving an AI a moral compass instead of just a list of rules. Instead of just guessing what we want, this system can actually think about whether an action is right or wrong based on human values. It's like teaching a computer to have a conscience so it doesn't make dangerous or biased mistakes.
Current AI lacks a moral compass, leading users to attribute intent to machines that don't have it. This creates dangerous gaps in social media safety, robot ethics, and medical decision-making.
The Reflective Global Neuronal Workspace (RGNW) model and a corresponding prototype toolbox for embedding value-awareness into AI.
If you are a platform provider dealing with disinformation and polarization — this project developed a value-aware toolbox that implements guardrails to stop asocial and immoral behavior.
If you are a robot manufacturer dealing with potential manipulation or deceit in human-robot interaction — this project developed a model that constrains robot behavior within ethical norms.
If you are a software developer dealing with complex clinical choices — this project developed a decision-making support system that ensures medical protocols are value-aligned.
Based on available project data, no pricing or cost structures have been disclosed as the project is in the development phase.
The project is currently prototyping a toolbox and testing it in 3 specific domains, but full industrial scale data is not yet provided.
Based on available project data, specific licensing terms are not mentioned, though it is an EU-funded Horizon-EIC project.
It does not propose new regulations but embeds ethics directly into the AI technology to make it more reliable and trustworthy.
Integration is achieved through a toolbox and the Reflective Global Neuronal Workspace (RGNW) model that acts as a moral consciousness component.
The consortium is well-balanced for technology transfer, featuring 7 partners across 5 countries. With an industry ratio of 43% (3 industrial partners, including 1 SME), there is a strong bridge between the 4 academic/research entities and real-world commercial application.
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