@ARTICLE{TBA, 

TITLE={[FORTHCOMING] Xvaluator: A European game changer in Data Qualification allowing the Decision Making with consensus based on its newly discovered Qualificative AI (QuAI)}, 
  
AUTHOR={Florin Paun
, Ingrid Vaileanu-Paun
, Crenguta Leaua
, Alex Jaso
, Thomas O’Neal, }, 
	
JOURNAL={Technology and Innovation}, 
	
VOLUME={}, 

NUMBER={Forthcoming papers}, 
	
YEAR={2026}, 

URL={https://www.openscience.fr/Xvaluator-A-European-game-changer-in-Data-Qualification-allowing-the-Decision}, 
	
DOI={TBA}, 
	
ISSN={2399-8571}, 
	
ABSTRACT={We propose in this article the presentation of the solutions of the Deep tech Xvaluator in France for the co-construction of new, highly collaborative tool and processes of democratic “open qualification” [PAU 09, 12, 20]. By considering the diversity of stakeholders and their specific contexts, opinion and impact data in highly collaboration open qualification processus and the capabilities enhanced by AI, Xvaluator innovation is able to integrate ex ante the evolving determinants of opinion on perceived impacts data on all subjects of common interest. This leads our research toward the discovery and conceptualization [PAU 23] in economics, social and cognitive science of a third typology of AI (in addition to symbolic and connectionist-connective types): the Qualitative AI (QuAI) [PAU 23]. This allows to integrate as consubstantial to the pertinence of the qualification and decision-making process the human critical thinking in all its diversity as condition to co-create and access pertinent reliable data as results. These new trusted spaces and process - QuAI tool Xvaluator - could thus lead to optimal choices, and better decision making with consensus. Highly collaborative process of creation of relevance and trust, particularly through the new dynamic capabilities empowered by the Xvaluator Qualificative AI are potential creators of disruptive innovations by embarking the digital users’ contributions during all AI usages towards new digital business models reducing the fake and biased data flux and thus reducing the ecological footprint of all AI usages. Several usage functionalities are identify d as critical contributions of Xvaluator to evolutions towards a functional economy [VAI 20] and the democratization of access to reliable impact data aimed at more efficient, more ethical, innovative, disruptive tools for resilience [SCH 22] facing the current multifaceted crises: economic, climate-related, and trust-related [PAU 09, 12, 18], [ADA 18].}}