01
How we will
help you?
Innova-tsn can help you address the challenges the new European regulation EU AI Act presents and turn them into efficiency-improving opportunities.
STRATEGIC CONSULTING
AI Assessments
- Identification, categorisation and census of AI assets in your organisation
- Assessment and categorisation of AI models in accordance with levels of risk in EU AI Act
AI Consultancy Services
- Strategy and AI Adoption and Governance Models in the Corporation
- Methodology and Interpretive Framework for categorising AI use cases (AI Act)
- Development and Adoption of a Strategy for Responsible AI
DEFINITION AND IMPLEMENTATION OF SOLUTIONS
DE SOLUCIONES
Responsible AI Practice Deployment
- Design and Implementation of MLOps/LLMops Environments (Responsible AI)
- Design, implementation, and deployment of AI solutions aligned with regulation and Responsible AI principles
- Support and Knowledge Transfer Services for the implementation of Responsible AI solutions
- Reporting and Monitoring of Responsible AI application.
- Reporting systems and alerts for Responsible AI application.
TRAINING AND CHANGE MANAGEMENT
Training Services
- AI Literacy and Essential Regulatory Requirements
- Principles for Developing Responsible AI Solutions
- Foundations for Use Case Categorization According to the AI Act
Change Management
- Definition and support in adaptation processes for the adoption of AI solutions.
02
Principles for
responsible AI
Designed to align with global expectations, these are the pillars Innova-tsn deems vital to ensure AI is developed and used fairly and ethically, minimising bias and misuse.
Also promoting trust and acceptance among users and legislators, which is essential for successful and sustainable integration into society.
Discover the 8 fundamental principles defining our vision of responsible AI
PRIVACY
Protection and control of personal data by users in accordance with EU law (GDPR)
SECURITY
Security against adversarial attacks and malicious use. Prevention of harm to people
RELIABILITY
Technical robustness. Accuracy. Consistent according to their purpose.
EQUITY AND JUSTICE
AI systems must avoid bias and discrimination, especially among the most vulnerable groups
EXPLICABILITY AND INTERPRETABILITY
Users of AI systems must understand the reason behind the decisions taken and their results
TRANSPARENCY
Access to the internal functioning of the AI system and to how decisions are taken and their results
ATTRIBUTION
Accountability
SUSTAINABILITY
Social and environmental well-being
Adding three other cross-cutting dimensions, namely: human supervision, lifelong training of all roles involved in the development, implementation and use of AI and the mandatory compliance with EU regulations.
Technology and innovation have allowed human beings to overcome obstacles that once seemed insurmountable
Opening the doors to a world of infinite possibilities
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