The challenges of Artificial Intelligence (AI) for managers
The target audience for training
- Members of COMEX,
- CODIR,
- Company directors.
What you will learn
At the end of the course, trainees will be able to understand the strategic, ethical, social, environmental and legal issues surrounding Artificial Intelligence.
Training programme
- Duration: 1.5 days
Day 1
Day 1 - Morning: Understanding the strategic challenges of AI
- Introduction: overview of current uses of AI in key companies and sectors.
- Strategic issues: competitiveness, innovation, process optimisation.
- Impact of AI on business models and professions.
- Case study: examples of organisations that have successfully integrated AI.
- Interactive quiz (30 min) on LMS with group correction to validate and consolidate what has been learnt.
Day 1 - Afternoon: Opportunities, risks and governance of AI
- AI opportunities for the organisation and its stakeholders (customers, partners, employees).
- Identifying and managing AI-related risks: algorithmic bias, security, technological dependency.
- Governance and management: integrating AI into corporate strategy.
- Legislation and regulations: European framework (AI Act), legal and contractual issues.
- Practical exercise: mapping the risks and opportunities associated with AI in your sector.
- Interactive quiz (30 min) on LMS with group correction to validate and consolidate what has been learnt.
Day 2
Day 2 - Morning: Responsible AI and company charter
- Ethical and societal issues: transparency, fairness, data protection.
- Environmental impact of AI: energy consumption, sustainability.
- Developing a responsible approach to integrating AI into the organisation.
- Group workshop: co-construction of the broad outlines of a corporate charter for the responsible use of AI.
- Interactive quiz (30 min) on LMS with group correction to validate and consolidate what has been learnt.
Intersession: virtual class (2 hours, 1 week after the course)
- Feedback from participants: situations experienced with AI since the training.
- Collaborative workshop: collective correction of bias in a set of prompts / AI results.
- Practical recommendations for creating a critical culture in the face of AI.
- Closing and final assessment.
- Attendance certificates are handed out and participants evaluate the course.
Trainer profile
Expert consultant-trainer in artificial intelligence and digital governance, 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
- Understanding the strategic, ethical and regulatory challenges of artificial intelligence in the corporate context.
- Identify the opportunities and risks of AI for the organisation, business lines and stakeholders.
- Equipping managers to manage a responsible approach to integrating AI into their company.
- Co-construct the broad outlines of a company charter on the use of AI, adapted to their sector and their values.
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: 1.5 days
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).