Training by theme
Ethical awareness and eco-responsibility
Environmental footprint, data ethics, invisible labour, digital sovereignty: the path that places AI use within a wider responsibility.
Why this path
Behind every prompt, a very real cost.
Generative AI has a heavy footprint, relies on often-invisible annotation work and concentrates power in a few hands. This path provides the keys to digital sobriety, data ethics and sovereignty to make informed choices.
The modules in this path
The hidden environmental footprint
M32
Measure the energy cost and adopt digital sobriety.
Generative AI has a heavy footprint (energy, water cooling): a complex image equals recharging a phone. Sobriety: the lightest tool that suffices.
RegisterIP plunder and data ethics
M33
Check the provenance of training data from purchase onward.
Many models were trained by mass scraping without authorization. An uncertified image may reproduce a protected work: verify provenance.
RegisterThe invisible human cost: click work and moderation
M34
Embed CSR into the data-annotation chain.
Behind AI, an invisible workforce annotates and moderates toxic content, often underpaid. Question your suppliers about their subcontractors' conditions.
RegisterJob transformation and the future of work
M35
Anticipate reskilling rather than job elimination.
AI transforms jobs more than it eliminates them, which demands reskilling. Resilience comes from dual competence, technical and human.
RegisterDigital and cultural sovereignty
M36
Preserve autonomy and linguistic heritage against the giants.
Tool concentration creates economic, technical and legal dependence. Diversifying tools and supporting the local ecosystem strengthens sovereignty.
RegisterReady to equip your team?
Enroll your teams in our AI-literacy and governance training paths, from the common core to function-specific use cases.
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