Responsibility
Carrying out our mission sustainably and responsibly
Training and supporting individuals and organisations on a daily basis to meet their development challenges means our mission goes beyond the simple economic framework. By helping our customers to bring out the best in themselves, we help to improve the workplace.
Faced with the far-reaching changes that are shaking up our societies (technological developments, changes in society and working methods, ecological transition, etc.), we are committed to turning skills into performance.
To fulfil our mission and ensure that this promise is kept in a sustainable and responsible way, Cegos is committed to Corporate Social Responsibility (CSR).
Our CSR approach is a strategic priority for the Group and hinges on the following four pillars:
Environment
Employer
Societal Commitment
Customers
To bring this priority to life, we are raising awareness among all our teams worldwide.
A network of CSR ambassadors within the Group has a threefold mission of monitoring, acting, and promoting social responsibility within our company.
Key figures:
63% of women
56% of whom are managersEcovadis Bronze Medal
57/10045 training courses
dedicated to CSR for our customersOver 70,000 people
trained free of charge each yearOur Code of Conduct regarding the use of Artificial Intelligence
Since several years, we started testing and exploring different applications of Artificial Intelligence in our business. We organized workgroups to reflect on AI’s impact on the way we work and deliver our services to our clients. We now have defined our AI Code of Conduct.
This document serves as a foundational guideline to ensure ethical, transparent, and responsible use of artificial intelligence technologies within our organisation, training offer, solutions and services.
In this Code of Conduct, we outline our commitment to fairness, accountability, privacy, and the safety of any use of AI solutions, emphasizing the protection of our stakeholders’ data and ensuring that AI-driven solutions do not perpetuate biases or inequalities.