ExpertiseUpdated on 12 May 2025
Improve Trusted AI solutions by aligning human and machine intentions
About
One of biggest challenge for robots or AI solutions adoption is trusting the machine by the non specialists users. This requires to frame whatever AI solutions including generative AI by bringing transparency within AI solutions, not only explainability, but more importantly providing governability. This requires to frame the AI solutions with transparent intentions. Wassati assembly 3 AI technologies to 1/rule AI intentions in natural language, 2/ discover the non intentional rules and finally 3/ uses a 3rd algorithms to discover the optimum between the intentional and non intentional. This helps to propose solutions and better collaboration with humans including by sensing emotions and their deep causes to continuously adjust to improve the acceptability.
Field
- Artificial Intelligence (AI)
- Interactive technologies
- Language Technologies
- Next Generation Internet (NGI)
- Software technologies
- Ageing
- Agriculture and food
- Rural economics
- Circular economy
- Environment
- Energy
- Smart homes and grids
- Smart cities and communities
- Transport and mobility
- Governance and public services
- Cultural heritage
- International cooperation
- Societal transformation
- Responsible research and innovation
- Social Sciences and Humanities (SSH)
Similar opportunities
Expertise
Ethics, SSH and policy expertise for trustworthy AI
- Robotics
- Environment
- Societal transformation
- Artificial Intelligence (AI)
- Governance and public services
- Responsible research and innovation
- Social Sciences and Humanities (SSH)
Atte Ojanen
Research Manager at Demos Helsinki
Helsinki, Finland
Project cooperation
Eduverse - Looking for partners
- Partner seeks consortium
- Consortium seeks partner(s)
- HORIZON-CL4-2025-03-HUMAN-15: GenAI4EU: Generative AI for Virtual Worlds: Advanced technologies for better performance and hyper personalised and immersive experience
Serhat TANRIKUT
Engineering Manager at VBT YAZILIM A.S.
Antwerp, Belgium
Expertise
- Energy
- Robotics
- Cloud computing
- Big data & analytics
- Language Technologies
- Software technologies
- Artificial Intelligence (AI)
- High Performance Computing (HPC)
Aleš Zamuda
Associate Professor at University of Maribor
Maribor, Slovenia