Artefact Corporate Social Responsibility
Combine data and environmental transformations for greater impact.
Artefact’s internal CSR strategy
PLANET, Acting on climate change
We aim to reduce the environmental impact of our activities by engaging our ecosystem in a collective dynamic of impact reduction.
Following the completion of its latest carbon assessment, Artefact has committed to a reduction plan covering all emissions generated (Scope 1, 2 and 3).
By 2030, Artefact is committed to reducing its GHG emissions by 55% by acting on the following key levers:
- Sustainable media: refine the collection of our media data through the implementation of a measurement tool
- Green mobility: reduce our employees’ air travel
- Ecoefficient offices: switch to renewable energies and reduce energy consumption
- Responsible purchasing: formalize & deploy a Group-wide responsible purchasing/supplier charter
- Transversal initiatives: raise awareness & train our employees
PEOPLE, Boosting our social handprint
We are committed to addressing the key social issues of our sector, which in particular focus on diversity & inclusion and access to knowledge in the world of AI and Data.
PRINCIPLE, Shaping AI ethics
As a leader in our sector, we need to promote responsible and trusted use of AI and Dat,a working to define standards for their use.
Ethics
Artefact aspires to transform data into value. Data and AI raise ethical issues that must be addressed at the highest professional standards.
As one of the leading global players in data services, we have set up an ethical data charter including 10 principles that guide our commitment to proactive ethical behaviour, at each step where we process data.
Our clients CSR commitments
Artefact is also committed to supporting its customers in addressing these new sustainability issues
Raise awareness
Awareness-raising is a key lever for engaging our customers and their employees in a responsible approach.
The green hackathons organized by Artefact help to raise awareness among all stakeholders, and launch a process of reflection and momentum on the challenges of more sustainable data & AI.