AI in human resources
MET-C01M01
Integrate AI in HR without reproducing bias or breaching Law 25.
Screening, drafting and talent management: what AI can do in HR, and what it must never decide alone.
Training by function
AI in HR touches the most sensitive ground: applications, evaluations, personal data. Here is the program that lets your HR teams benefit from it without reproducing bias or breaching Law 25.
Why this training
A poorly framed tool can screen out candidates on discriminatory criteria, retain application data without consent or produce a decision no one can explain. HR literacy turns AI into a useful assistant while keeping the decision and the responsibility on the human side.
Coming soon in the « AI by profession » specialization: this module is not available yet. The common core and the modules to go deeper below are available today.
MET-C01M01
Integrate AI in HR without reproducing bias or breaching Law 25.
Screening, drafting and talent management: what AI can do in HR, and what it must never decide alone.
The baseline reflexes your whole team shares, whatever the job.
C01M01
Demystify the probabilistic engine and distinguish it from predictive AI.
Understand the fundamental principles and key mechanisms of how generative AI works.
RegisterC01M02
Identify fabricated information and how to verify it at the source.
Identify the causes of AI hallucinations and apply a rigorous method to guard against them.
RegisterC01M03
Structure your prompts (Role + Context + Task + Format) and iterate.
Write structured prompts (RCTF) and iterate effectively to get precise results.
RegisterC01M04
Sort your data and de-identify rigorously before every prompt.
Categorize work data and apply anonymization techniques to protect sensitive information.
RegisterC01M05
Recognize shadow AI and have tools approved by IT.
Identify the risks of shadow AI and favour officially approved tools.
RegisterC01M06
Apply "human-in-the-loop" and the "four eyes" method.
Take professional accountability for generated content and apply the principle of human verification.
RegisterThe modules most relevant to the risks specific to your function.
C02M01
Apply purpose, minimization and informed consent day to day.
Understand the three core principles of Law 25 (purpose, minimization, consent) that apply to the use of AI.
RegisterC04M02
Understand where bias comes from and see through apparent objectivity.
Understand where algorithmic bias in training data comes from and learn to detect it.
RegisterC05M04
Guarantee explainability, fairness and the right to human review.
Identify high-risk automated-decision cases and apply the obligations of human review and explainability.
RegisterEnroll your teams in our AI-literacy and governance training, from the common core to function-specific use cases.
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