Training – Does AI Discriminate Unknowingly?

- In French - On-site event - Paid event -

Decode, Understand, Act
Artificial intelligence is already supporting numerous professional tasks: application screening, recommendations, content moderation, decision support, and the generation of text and images.

Often perceived as neutral, AI relies on human choices and datasets that influence its results and can produce unexpected effects.

This training session will help you understand AI mechanisms, identify algorithmic biases and their concrete impact on your workflows, enabling you to adopt a more ethical and responsible approach in your professional practices.

Why Participate?

• Deepen your understanding of how AI tools function and their limitations.
• Gain perspective and a critical eye on generated results.
• Identify key points of vigilance within your own practices.
• Adapt your professional usage in an informed and enlightened manner.

Program

• Decoding AI: Fundamentals and Stakes

Perceptions and Challenges: Is AI a performance lever or a total transformation for teams?
AI Panorama: Distinguishing between the specific logics of conversational, predictive, and generative AI.

• AI in the Workplace: Transforming Practices

Analysis of concrete use cases: How AI impacts daily processes and job roles (e.g., recruitment, social media, information retrieval, collaboration).

• Algorithmic Bias: Mechanisms and Impacts

Identifying sources: Understanding how biases are created and manifested.
Observing the effects: Automated decisions, repetitive results, and the reinforcement of specific trends and stereotypes.

• Practical Workshop: Detect and Act

Hands-on simulation using generative AI tools (text and image).
Critical analysis: Applying a framework to spot and analyze biases in real-time.

• Towards Ethical AI: Reflect and Act

Reflecting on the integration of AI into your specific business context by developing a responsible and tailored strategy.
 

Speakers

• Virginie Julliard, Professor at CELSA (Sorbonne University).
• Thibault Grison, Associate Professor in Information and Communication Sciences (University of Lille).

Practical Information

Date: Thursday, January 29 · 2:00 PM – 5:00 PM
Location: 55 rue de la Boétie, 75009 Paris
Fee: €450 per participant (minimum of 10 participants)
Registration: This is a paid training session open to all. Register now via contact@datacraft.paris