This translation is provided for information only. The Spanish version prevails.
Innatial Developers is a team of professionals specialising in the design and development of technology solutions, with the capability to integrate Artificial Intelligence systems into software applications, digital platforms and the services we provide to our clients. We integrate third-party Artificial Intelligence technologies and models where they are appropriate for the purpose of each project, while keeping a prudent approach to their capabilities, limitations, dependencies and risks.
Innatial Developers' general Policy is to design, develop, integrate, deploy, maintain and use Artificial Intelligence systems in a responsible, secure and transparent way that complies with the applicable requirements, seeking to ensure that their use is effective, efficient and acceptable to the organisation, its clients, users and other interested parties.
Top management promotes the maintenance and continual improvement of an Artificial Intelligence Management System based on ISO/IEC 42001, integrated with our Information Security Management System based on the ENS (Spain's National Security Framework) and UNE-EN ISO/IEC 27001, and aligned with the Artificial Intelligence governance principles of ISO/IEC 38507. It also takes as a reference Regulation (EU) 2024/1689 (the AI Act) and personal data protection legislation.
The system applies to strategic consultancy and software engineering for the design, development, deployment and maintenance of intelligent systems and process automation, including generative AI technologies, multimodal data processing, machine learning techniques and natural language processing.
Our principles
- Accountability: the use of AI does not replace the responsibility of the people involved in our decisions, processes and services.
- Purpose and value: we use AI when there is a legitimate purpose and it adds real value, not for image or to follow a trend.
- Risk and impact management: we assess the risks to the organisation and the potential impacts on people and society, and we apply proportionate measures.
- Human oversight: we preserve people's ability to intervene, review and decide, in a real and effective way.
- Transparency: we disclose the use of AI where appropriate and do not attribute to systems capabilities or guarantees that have not been demonstrated.
- Traceability: we keep the documentation and records needed to justify decisions and provide evidence of compliance.
- Data and privacy: we manage the quality and provenance of data, apply privacy by design and do not enter personal or confidential information into unauthorised AI tools.
- Security and robustness: we protect AI systems according to their level of risk, with testing and acceptance criteria before they go live.
- Fairness: we do not assume that an automated system is neutral, and we assess the potential for bias or discriminatory effects.
- Competence: we promote training for our team on the capabilities, limitations and risks of AI.
We apply these principles throughout the entire life cycle of our systems, from the definition of requirements to their retirement, and in the selection of AI models, platforms and providers, which we assess on their security, privacy, licensing, transparency and continuity terms, as well as on their features and costs.
Any anomalous behaviour, harmful output, vulnerability or unauthorised use of an AI system is analysed and handled with proportionate measures, which may go as far as temporarily suspending its use until an acceptable level of risk is ensured.
Anyone, whether a member of our team, a client, a user or a partner, can raise concerns about the use of Artificial Intelligence at Innatial Developers by writing to inquietudes-ia@innatial.com. Reports are handled confidentially, and no retaliation will be tolerated against anyone who makes one in good faith.
To meet these commitments, top management sets Artificial Intelligence objectives, monitors them and reviews the Management System at least once a year, taking the necessary action whenever their achievement may be at risk.