White Paper Now Available
Read our comprehensive analysis on Human-AI Interaction
Understanding Human-AI Interaction for Transparent AI
A collaborative white paper initiative for the Paris AI Summit 2025
Exploring how AI Human-Interaction, from Academia to Industry.
This initiative shows how AI can not only improve our daily life, but also create a fairest and more sustainable future.
Contributing to the Future of AI
Your insights will help build a comprehensive and actionable understanding of how AI is being used and its societal implications. By joining this initiative, your organization will be featured alongside industry leaders. The results will be showcased at the AI Summit, offering a platform to highlight our collective efforts.
Below are our key research areas - select one to learn more about how you can contribute:
Research & Design
Exploring AI-human collaboration from a design perspective.
Focuses on designing intuitive systems that enhance synergy between humans and AI, optimizing usability and interaction.
Research & Design
Contribution Types
- Analysis of prompt effectiveness in research settings
- Studies of prompt refinement patterns
- User interaction data analysis
- Prompt optimization case studies
Key Topics
- Prompt pattern optimization
- Interactive prompt refinement
- Prompt monitoring metrics
- User adaptation patterns
Social Science
Analyzing what AI analytics reveal of social movement.
How monitoring and analyzing AI prompts provides unique insights into collective behavior, social trends, and human needs across different communities.
Social Science
Contribution Types
- Prompt usage pattern analysis
- Cultural variation studies in prompting
- Demographic interaction analysis
- Social impact assessments
Key Topics
- Cultural prompt patterns
- Social behavior insights
- Community usage trends
- Accessibility through prompting
Open Source
Promoting open-source initiatives to enhance understanding of AI-human interactions.
Encourages transparency and collaboration in developing tools and frameworks for studying AI-human relationships.
Open Source
Contribution Types
- Open-source prompt library analysis
- Community prompt improvement patterns
- Collaborative refinement studies
- Model evaluation through prompts
Key Topics
- Prompt sharing patterns
- Community-driven optimization
- Open-source prompt libraries
- Prompt-based evaluation metrics
Industry
Evaluating the advantages of understanding how users interact with AI for strategic insights.
Offers insights into how users empirically interact with AI and evaluates the effectiveness of these interactions to enhance AI products.
Industry
Contribution Types
- Enterprise prompt optimization cases
- ROI analysis of prompt monitoring
- Business workflow integration studies
- Productivity impact assessments
Key Topics
- Prompt efficiency metrics
- Cost optimization strategies
- Risk assessment through monitoring
- Enterprise prompt management
Ethics
Investigating the ethical implications of AI-human interactions.
Addresses challenges like bias, accountability, and the moral consequences of integrating AI into daily life.
Ethics
Contribution Types
- Bias detection in prompts
- Ethical prompt monitoring cases
- Fairness analysis studies
- Responsibility framework implementations
Key Topics
- Prompt bias detection
- Ethical monitoring metrics
- Fair prompt design
- Responsible AI guidelines
Regulation
Examining regulations, including the AI Act, governing relationships between AI and users.
Explores legal frameworks to ensure safe, fair, and equitable AI interaction.
Regulation
Contribution Types
- Compliance monitoring cases
- Privacy protection studies
- Security analysis reports
- Governance framework implementations
Key Topics
- Prompt compliance monitoring
- Privacy-aware analytics
- Security assessment methods
- Governance through monitoring
Project Timeline
Track our progress as we develop this white paper on prompt analytics and its role in shaping the future of AI safety.
Initial Draft & Research
Early January 2025
Comprehensive data gathering from industry leaders, researchers, and AI safety experts. Establishing key metrics and analytical frameworks.
Stakeholder Review
End of January 2025
Collaborative review process with key industry partners, incorporating feedback from leading AI safety researchers and policymakers.
Final Preparation
Early February 2025
Refinement of key findings, preparation of presentation materials, and coordination with summit organizers.
Paris AI Summit
February 10-11, 2025
White paper presentation and stakeholder signing ceremony, marking a milestone in collaborative AI safety initiatives.
Your Voice Matters
Join researchers, industry leaders, and engaged citizens in contributing to this white paper. Together, we can shape the future of AI safety.
Baudouin Arbarétier
CTO & Cofounder
"Trustful AI systems in the legal industry"
Dr. Valerian Chambon
Senior Researcher
"Investigating Human-AI Interaction"
Alina Holcroft
CEO & Cofounder
"AI Act recommendations on Human-AI Interactions"
Lucie Termignon
CPO
"Understanding and comparing French citizen LLMs interactions"
Anastasia Stasenko
CEO & Cofounder
"Developing EU Compliant human-AI solutions"
Emmanuel Mahé
Research Director
"Designing new forms of Human-AI interfaces"
Julie Hunter
Head of NLP Research
"Creating Open-Source AI-Human interactions"
Bilel Benbouzid
Associate Professor
"Understanding AI-Human usage among student"
Lucas Amorotti
Entrepreneur & Student
"Analyzing Human-AI interaction at French National Assembly"
Adam Zerrouk
Entrepreneur & Student
"Sucess factors of Human-AI interaction"
Louis de Diesbach
Technology Ethicist
"The impact for AI-Human interaction anthropomorphization"
Géneviève Fieux-Castagnet
Head of AI Ethics
"A case study of public ethic AI"
Benjamin de Almeida
CPO
"AI implementation success vs AI-human interaction success"
Erwan Le Quentrec
Head of R&D unit
"The African perception of AI"
Corentin Loubet
Researcher
"Opt-IA: Designing a device between awareness and research"
Federico Fortis
CEO & Founder
"Understanding Human-AI interaction in the fashion industry"
Louis Ducamp
Student & Founder
"Human-AI Interaction at the data level: the pseudonomization challenge"
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Arnaud Merle
Strategic Designer
"Human success factor in Human-AI Interaction"
Our Partners
Collaborating with leading institutions and organizations to advance the future of AI systems and ethical development.
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