Our Approach
PARRIIC uses artificial intelligence tools, specifically Claude by Anthropic, and DeepL Translator to enhance the quality, efficiency, and effectiveness of our work. We believe that AI, when used responsibly and transparently, can help us deliver better outcomes for our clients while maintaining the highest professional standards.
Why We Use AI
We use AI tools to:
- Draft and refine content: Creating drafts and translations of written materials.
- Edit and improve clarity: Refining language for accessibility and readability.
- Research and analysis: Gathering information and synthesising complex topics.
- Technical problem-solving: Developing and working through solutions, particularly for digital platform challenges.
- Efficiency: Completing routine tasks more quickly so we can focus on strategic and specialised work.
AI helps us work better and faster, but it does not replace our professional judgment, expertise, or accountability.
Why Anthropic and Claude
We chose to work with Anthropic’s Claude because of their commitment to AI safety and ethical development:
Constitutional AI
Anthropic developed Constitutional AI (CAI), a method that trains AI systems using a set of written principles—a “constitution”—rather than relying solely on human feedback. This approach aims to create AI that is helpful, honest, and harmless. Anthropic – Claude’s Constitution
Ethical Foundations
Claude’s constitution draws from sources including the UN Declaration of Human Rights, trust and safety best practices, principles from other AI research labs, and efforts to capture non-Western perspectives. This aligns with our values of inclusivity and respect for diverse perspectives.
Transparency
Constitutional AI makes it easier to specify, inspect, and understand the principles the AI system is following, providing greater transparency than opaque training methods.
Safety and Oversight
The Constitutional AI approach helps train AI to respond appropriately to problematic queries while remaining helpful, and reduces the need for humans to be exposed to disturbing content during the training process.
Why DeepL for Translation
For translation needs, we use DeepL, a European translation service developed by German company DeepL SE.
European Infrastructure and Data Sovereignty DeepL processes all translations on infrastructure located in the European Economic Area, ensuring that data remains within European jurisdiction and benefits from EU data protection standards. This aligns with our commitment to data sovereignty and European digital infrastructure.
Privacy and GDPR Compliance DeepL adheres to GDPR—one of the strictest data protection laws worldwide—and with their Pro service, texts submitted are processed only temporarily and are deleted after translation completion. Translations are never stored or used to train their systems when using the paid service.
Supporting Digital Diversity We believe in supporting a diverse digital ecosystem rather than contributing to technology monopolies. By choosing European alternatives where they offer equivalent or superior functionality, we help sustain a more balanced and competitive technology landscape. This matters for long-term innovation, user choice, and maintaining alternatives to dominant platforms.
Quality for Heritage Work DeepL’s neural network technology delivers high-quality translations, including complex, specialised terminology—which is important when working with cultural heritage materials and documentation that requires accuracy and nuance.
Our Commitments
Human Oversight and Responsibility
- We remain accountable: All work produced with AI assistance is reviewed, edited, and approved by us.
- Professional judgment: AI suggestions are evaluated against our expertise and professional standards.
- Client-specific knowledge: AI cannot replace understanding of your unique collections, context, and requirements.
- Quality control: We verify accuracy, appropriateness, and compliance with relevant standards.
Transparency
- Disclosure: We are transparent about our use of AI tools with clients.
- Clear boundaries: We clearly distinguish between AI-assisted work and specialised expertise that requires human judgment.
- Honest limitations: We acknowledge what AI can and cannot do well.
Data Protection and Confidentiality
- Client data: We do not input confidential client information, proprietary data, or personal data into AI systems.
- Anonymisation: When using AI for analysis or problem-solving, we anonymise or use generic examples.
- Secure practices: We follow data protection principles when working with AI tools.
Quality and Accuracy
- Fact-checking: We verify information provided by AI, especially for technical standards, dates, and specific claims.
- Professional standards: All outputs meet relevant professional standards (cataloguing standards, accessibility guidelines, publication standards).
- No plagiarism: AI-generated content is treated as draft material that we transform into original, professional work.
What We Don’t Use AI For
We do not use AI for:
- Final decision-making: Critical project decisions rely on human expertise and client consultation.
- Cataloguing judgment: Subject analysis, classification decisions, and archival arrangement require professional expertise.
- Client strategy: Recommendations about your collections, systems, and priorities require human understanding of your context.
- Automated client communication: All client correspondence is personally written.
- Processing confidential data: Unless explicitly requested by the client, with appropriate safeguards in place.
Use in Specific Services
Production Management
- Drafting style guides, templates, and documentation.
- Research on publishing standards and best practices.
- Assistance with project planning documents.
- All final materials are reviewed for accuracy and client-specific requirements.
Cataloguing Services
- Research on standards and controlled vocabularies.
- Template creation and documentation.
- Analysis of best practices.
- Not used for: Actual cataloguing, subject analysis, or description—these require professional archival and library expertise.
Open Source Solutions
- Research on platform features and capabilities.
- Documentation and training material development.
- Technical problem-solving and troubleshooting.
- Code review and optimisation suggestions
- All implementations are tested and verified by human expertise.
Continuous Improvement
We stay informed about:
- Best practices for responsible AI use in professional services.
- Developments in AI safety and ethics.
- Sector-specific guidance on AI use in cultural heritage.
- Client preferences and concerns about AI.
We welcome feedback from clients about our AI use and are happy to discuss how we balance efficiency with quality and professional standards.
Client Choice
If you prefer that we do not use AI tools in our work for your project, please let us know. We can deliver all services without AI assistance, though this may affect project timelines and costs.
Questions and Transparency
We’re committed to being open about our use of AI. If you have questions about:
- How we use AI in your specific project?
- What safeguards we have in place?
- How we ensure quality and accuracy?
- Our data protection practices with AI tools?
Please contact us at parriic@parriic.eu we are happy to discuss our approach in detail.
Further Reading
To learn more about Anthropic’s approach to AI safety:
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