Research & Development
Advancing ethical AI through purposeful innovation and cultural diversity
Research & Vision at HERUKA
HERUKA's Research & Development team focuses on purposeful innovation. We invest in advanced projects aimed at developing technologies capable of transforming industrial and societal frameworks.
Our objective is to ensure that the interaction between human cognition and computational systems fosters augmentation rather than dependency.
In the current context of distributed intelligence and collective systems, we work to align human and machine operating models within a controlled and ethical framework.
Research Focus Areas
Our research spans multiple domains, all centered around ethical AI development and cultural diversity.
Polyphonic AI Development
Developing Large Language Models (LLMs) based on cultural foundations that extend beyond Anglo-Saxon and Sino-centric paradigms.
Cognitive Computing
Ensuring AI systems reflect the multiplicity of human histories and epistemologies.
Cultural Linguistics
Exploring intersections between historical memory, linguistic evolution, and modern technological design.
Ethical AI Frameworks
Developing frameworks that prioritize human agency and cultural diversity.
Current Research Projects
Our flagship projects in polyphonic AI development and cultural computing.
The Pocquelin Project
In DevelopmentA Francophone LLM incorporating literary, technical, and philosophical corpora from regions such as France, Canada, West Africa, Belgium, and the Pacific.
Key Features:
- Francophone Cultural Integration
- Multi-Regional Corpora
- Literary & Philosophical Content
- Technical Documentation
- Cultural Sensitivity Training
The Goethe Project
Research PhaseA multilingual LLM exploring Old Frankish, Luxembourgish, and German traditions. This project focuses on intersections between historical memory, linguistic evolution, and modern technological design.
Key Features:
- Historical Language Processing
- Linguistic Evolution Analysis
- Cultural Memory Integration
- Modern Design Principles
- Cross-Cultural Understanding
Our Research Principles
The foundational principles that guide our research and development approach.
Non-Hegemonic Approach
We are not aligned with hegemonic technology paradigms. Our approach prioritizes intellectual autonomy, cultural diversity, and the capacity to maintain individual and collective decision-making power.
Human-Machine Alignment
We work to align human and machine operating models. This alignment is not intended to replace human agency, but to enhance it within a controlled and ethical framework.
Purposeful Innovation
We invest in advanced projects aimed at developing technologies capable of transforming industrial and societal frameworks while maintaining ethical boundaries.
Cultural Foundations
Our AI development is based on cultural foundations that extend beyond dominant paradigms, reflecting the multiplicity of human histories and epistemologies.
Our Innovation Process
A systematic approach to developing ethical AI solutions.
Research
Deep research into cultural foundations, linguistic patterns, and ethical frameworks.
Development
Building AI systems that reflect cultural diversity and human values.
Validation
Ensuring our solutions meet ethical standards and cultural sensitivity requirements.
Future Vision
Our commitment to advancing AI technology while preserving human agency and cultural diversity.
Expanding Cultural Horizons
We plan to extend our polyphonic AI development to include more cultural and linguistic traditions, creating a truly diverse AI ecosystem.
Ethical AI Standards
Developing industry standards for ethical AI development that prioritize human values and cultural sensitivity.
Global Collaboration
Building partnerships with organizations worldwide to advance ethical AI development and cultural understanding.
Educational Initiatives
Creating educational programs to promote understanding of ethical AI and cultural diversity in technology.
Join Our Research Mission
Partner with us to advance ethical AI development and cultural diversity in technology.