The Human uses Artificial Intelligence (AI) to improve research quality, analytical ability, and operational efficiency, supporting its vision for a more connected and resourceful social innovation ecosystem. AI acts as an enabling technology that enhances — but does not replace — our human expertise, professional judgment, and methodological integrity. All AI-supported outputs remain subject to human oversight, verification, and responsibility.
1. Our commitment
The Human is dedicated to the responsible, ethical, and lawful use of AI, ensuring that innovation is balanced with strong safeguards for accuracy, transparency, privacy, and public trust. We achieve this through our Principles of Use.
2. Principles of Use
The Human’s use and development of AI are guided by these principles:
- Human-centred oversight — AI supports, but does not replace, expert human judgment and decision-making.
- Accuracy and methodological rigour — AI outputs are carefully reviewed, validated, and, if necessary, independently verified.
- Transparency and appropriate disclosure — material AI use is disclosed where relevant to stakeholders.
- Privacy and confidentiality by design — personal and sensitive data are protected with suitable technical and organisational controls.
- Risk awareness and management — known limitations, bias risks, and uncertainties in AI systems are actively monitored and managed.
- Security and data protection — AI tools and workflows follow recognised information security practices.
- Ongoing improvement — AI practices are regularly reviewed and updated in line with technological, regulatory, and societal changes.
3. Usage Patterns
The Human applies AI within defined, controlled patterns:
Patterns | Usage |
Research and Analytics | AI supports research and analysis, for example, conducting economic and public policy research, market analysis, qualitative synthesis, literature reviews, and structured data analysis. Outputs are considered preliminary, and a human reviews and edits all outputs before external use or publication |
Workplace Productivity | AI improves operational efficiency, for example, by assisting with drafting, structuring documents, coding, creating graphics, and language quality checks. A human reviews and edits all outputs before external use or publication. |
4. Strategic Development of AI Capability
The Human plans to develop a multi-modal AI function that provides sector-specific, real-time guidance to social innovators through a cloud-based advisory platform.
This system will combine:
- Natural Language Processing (NLP) for qualitative insights,
- Structured data analytics for evidence-based decision-making, and
- Multi-modal inputs to enhance contextual understanding across the For Good domain.
Use of Research Data
Data gathered through The Human’s research activities — including surveys, interviews, workshops, and other engagements — may be used in combined, anonymised, or privacy-preserving forms to develop, train, test, and improve AI models and analytics.
The Human commits that:
- Personal data will not be used for AI training without an appropriate lawful basis and consent where necessary.
- Identifiable or sensitive information will be protected through de-identification, aggregation, or other safeguards.
- Commercially sensitive and participant-provided data will be handled according to applicable confidentiality rules.
- Data practices will comply with privacy and data protection laws.
This approach enables capability growth while protecting individuals, partners, and research participants.
5. Governance
The Human maintains a proactive approach to ensure responsible AI management and ongoing risk mitigation. Main actions include:
- Regulatory monitoring — tracking compliance with emerging AI laws (including the European Union’s AI Act (Regulation (EU) 2024/1689), evolving intellectual property laws, and data protection requirements.
- Third-party evaluations — assessing external AI tools and components for legal, security, ethical, and data risks before adoption.
- Responsible use training — online training and awareness of responsible AI practices, including privacy, security, intellectual property, bias, and data protection.
- Regular review and adjustment — monitoring, assessing, and improving AI practices to align with government initiatives, community expectations, and legislation.
The Human aims to continually evolve its AI practices in line with technological advancements and emerging standards to deliver trustworthy, high-quality, and responsibly governed AI-enabled solutions.