Responsibility begins with design
AI supports people in their work. It makes knowledge accessible, structures information and simplifies workflows.
At validg we develop AI for fields with high responsibility. Data protection, transparency and human control shape our development from the very start.
People stay in control
AI supports professionals with suitable tasks. It processes information, structures knowledge and eases repetitive work.
Professionals contribute experience, context and professional judgement. They review results and make the relevant decisions.
We call this understanding Human in Control.
We design the division of tasks
We look at work processes at the level of individual tasks. This makes visible where AI can make a meaningful contribution and where human experience is especially important.
This clear division of tasks strengthens professionals and creates room for their core work.
Responsibility is part of the system
Responsible AI needs clear roles, traceable results and transparent use. We follow three principles.
Accountability
Results can be reviewed and assessed professionally.
Responsibility
Roles and responsibilities are clearly defined.
Transparency
People know when AI is used and which task it takes on.
We choose technology to fit the task
Model, data and infrastructure shape the quality of an AI solution. That is why we select technical components deliberately.
Task, data protection, infrastructure and resource needs determine the right architecture. The result is a solution that fits its field of use.
How we put our attitude into practice
Data protection
We protect personal and sensitive information. Data protection is built into the architecture of our solutions.
Human control
Professionals review, edit and assess results. They keep their decision-making authority.
Transparency
The role of AI in the work process is clear and understandable.
Sovereignty
Organizations keep control over their data and its processing.
Equal opportunity
We design AI to be understandable and accessible, so different people can use it safely and meaningfully.
Sustainability
We choose models and infrastructure to fit the task, using computing power and resources deliberately.
AI that fits the work
Responsible AI comes from clear decisions in design, development and use. We connect professional requirements with suitable technology.
The result is AI that supports people, strengthens responsibility and fits meaningfully into everyday work.
Let's talk about responsible AI.
Tell us about your organization. We listen, analyze and propose a path that fits your responsibility.
›Scientific foundations
Our attitude is informed by research on Responsible AI, the division of tasks between humans and AI, and foundation models.
- Dignum, V. (2019). Responsible Artificial Intelligence: How to Develop and Use AI in a Responsible Way. Springer.
- Huang, M.-H., & Rust, R. T. (2018). Artificial intelligence in service. Journal of Service Research, 21(2), 155–172.
- Dwivedi, Y. K. et al. (2021). Artificial Intelligence: Multidisciplinary perspectives on emerging challenges, opportunities, and agenda for research, practice and policy.
- Bommasani, R. et al. (2021). On the Opportunities and Risks of Foundation Models.