Thwarting AI bias through critical thinking
The target audience for training
Anyone wishing to strengthen their critical faculties in the face of AI.
What you will learn
At the end of the course, trainees will be able to strengthen their critical thinking when using Artificial Intelligence (AI).
Training programme
- Duration: 1 day
Day 1
Morning: Foundations of critical thinking and discovery of bias
- Introduction: the challenges and limits of Artificial Intelligence in society and business.
- The pillars of critical thinking: questioning, analysing, discerning and checking sources.
- Understanding human cognitive biases: confirmation effect, anchoring bias, authority bias, etc.
- Initial parallels between cognitive bias and algorithmic bias.
- practical: critical analysis of scenarios where cognitive biases influence decision-making.
- Interactive quiz (30 min) on LMS with group correction to validate and consolidate what has been learnt.
Day 1 - Afternoon: Algorithmic biases and a critical approach to AI
- Deciphering algorithmic biases: training data, representativeness, choice of models.
- Case studies: generative AI and bias in the production of text, images or analyses.
- Developing a critical approach to AI: how to question, cross-check and validate results.
- Ethical and strategic approach: assessing the impact on trust, governance and responsibility.
- Practical exercise: workshop on detecting and correcting bias in results produced by generative AI.
- Interactive quiz (30 min) on LMS with group correction to validate and consolidate what has been learnt.
Trainer profile
Expert consultant-trainer in artificial intelligence, whose technical, professional and teaching skills have been rigorously assessed and validated as part of our internal selection procedures.
Teaching methods and resources
The course is based on a balanced combination of theoretical and practical approaches, guaranteeing both the acquisition of knowledge and its operational application:
- Structured theoretical input, illustrated by practical examples tailored to the participants' professional context.
- Practical exercises at each stage to help you assimilate the knowledge you have acquired.
- A case study linking the different skill blocks.
- Strong interaction between trainers and trainees, making exchanges more concrete and in correlation with trainees' expectations.
- Full educational documentation, supplied in digital format.
- Course evaluation questionnaire at the end of the course, analysed by our teaching team.
- Certificate of acquired skills sent to the trainee at the end of the course.
- End-of-training certificate sent at the same time as the invoice to the company or funding organisation, confirming that the trainee has fully attended the session.
Training objectives
- Identify the foundations of critical thinking.
- Understanding cognitive and algorithmic biases.
- Adopting a critical, ethical and strategic approach to Artificial Generative Intelligence (AGI)
Assessment method
- Practical exercises at every stage of the course.
- A case study linking the different skill blocks.
- Quiz at the end of each day's training.
- Self-assessment of knowledge acquired by the trainee via a questionnaire.
Training prerequisites
There are no pre-requisites for this course.
- Language : French
- Level : Fundamental
- Certification body : ACG CYBERACADEMY
- Certification: No
- Accessibility : Yes
- Duration: 1 day
Important information:
Our courses are not registered with the Répertoire National des Certifications Professionnelles (RNCP), but they do comply with the requirements of the Répertoire Spécifique (RS).