HumanE AI Network

The project is a research and innovation action, meaning, the majority of the work is focused on delivering new understanding as well as implementation and development of novel approaches and technologies in the field of interfaces for artificial intelligence. Website: https://www.humane-ai.eu/

The vision is built around ethics values and trust (Responsible AI). These are intimately interwoven with the impact of AI on society, including problems associated with complex dynamic interactions between networked AI systems, the environment, and humans.

Our role is to facilitate a European brand of trustworthy, ethical AI that enhances Human capabilities and empowers citizens and society to effectively deal with the challenges of an interconnected globalized world.

CyberSANE platform is using various data sources. However, DarkNet component is specifically designed for automatic collection, analysis and visualisation of unstructured data in different languages.

The EU-funded HumanE-AI-Net project brings together leading European research centres, universities and industrial enterprises into a network of centres of excellence. Form industrial partners, to research laboratories and centers, to non-profits.

HumaneAI has developed a Research Roadmap for European Human-Centered AI, a report that summarizes the ideas and considerations that have emerged in the course of considering various ways to sustain and develop a large-scale Humane AI community, intended as recommendations for the funding bodies of the Union with respect to efficient implementation of large-scale long-term research initiatives in AI and similar fields[1]. A report delivered by the HumaneAI partners that describes the necessary steps to organize a community of researchers and innovators around a research program that seeks to create AI technologies that empower humans and human society to vastly improve quality of life for all[2]. And a report presenting the grounding principles of Responsible AI, namely Adaptability, Responsibility and Transparency. We then introduce the Design for Values methodology to guide the development of Responsible AI systems. We discuss how these principles can be integrated into a system development life cycle framework and finally we focus on the legal issues, in particular legal protection by design (LPbD)[3].

[1] https://www.humane-ai.eu/wp-content/uploads/2020/01/D4.1-v3.pdf

[2] https://www.humane-ai.eu/wp-content/uploads/2019/11/D21-HumaneAI-Concept.pdf

[3] https://www.humane-ai.eu/wp-content/uploads/2019/11/D13-HumaneAI-framework-report.pdf