Course : Recruiting in the Age of AI: Responsible Practices for HR

Practical course - 2d - 14h00 - Ref. RAJ
Price : 1590 CHF E.T.

Recruiting in the Age of AI: Responsible Practices for HR



New course

AI is revolutionizing HR practices: it can speed up the hiring process, while requiring rigor and ethical standards. This training will enable you to design and configure your own AI-assisted recruitment tools while complying with legal, ethical, and GDPR frameworks. You’ll learn to identify biases, ensure fairness, and implement responsible algorithm governance. An immersive and practical experience designed to transform AI into a driver of performance and trust in your recruitment efforts.


INTER
IN-HOUSE
CUSTOM

Practical course in person or remote class
Disponible en anglais, à la demande

Ref. RAJ
  2d - 14h00
1590 CHF E.T.




AI is revolutionizing HR practices: it can speed up the hiring process, while requiring rigor and ethical standards. This training will enable you to design and configure your own AI-assisted recruitment tools while complying with legal, ethical, and GDPR frameworks. You’ll learn to identify biases, ensure fairness, and implement responsible algorithm governance. An immersive and practical experience designed to transform AI into a driver of performance and trust in your recruitment efforts.


Teaching objectives
At the end of the training, the participant will be able to:
Explain the fundamentals of AI applied to recruitment and its practical use cases
Identify the opportunities and limitations of AI tools in HR practices while enhancing the employer brand
Using Generative AI Tools to Optimize Recruitment Processes
Analyze ethical risks, biases, and impacts on diversity
Apply legal requirements (GDPR, labor law, AI Act) to business practices. Build a recruitment process that integrates AI responsibly.
Assessing the suitability of an AI tool for the organization

Intended audience
HR professionals, recruiters, HR business partners, and talent acquisition specialists with experience in the employee recruitment process

Prerequisites
None

Practical details
Teaching methods
Active learning. Structured theoretical content. Case studies. Small-group work. Group discussion and feedback. Sharing of a monitoring tool with prompts, resources, videos, and links.

Course schedule

1
Understanding the Basics of AI in Recruitment

  • Definition and Types of AI (Generative AI, Machine Learning, NLP).
  • HR use cases: sourcing, resume screening, matching, automated interviews.
  • Current limitations of AI (hallucinations, dependence on data, lack of transparency).
Hands-on work
Quizzes and mapping: linking AI tools to their applications in recruitment.

2
Comply with the legal framework: GDPR, labor law, and the AI Act

  • GDPR: Processing of Candidate Data, Consent, Data Minimization, Transparency.
  • Labor Law: Non-Discrimination, Traceability, Automated Decision-Making.
  • AI Act (EU): Classification of HR AI systems (high-risk), requirements (audit, documentation, human oversight).
  • AI Governance in HR (charter, internal policies).
Exercise
Case Study: Create a checklist to verify best practices and compliance requirements (GDPR, AI Act, human oversight, performance, and discrimination risks).

3
Analyzing Biases and Ethical Issues in AI

  • Algorithmic bias and indirect discrimination.
  • Impact on diversity and inclusion.
  • Human Responsibility Versus Automation.
Case study
In small groups, analyze a biased process and propose corrections.

4
Identify relevant use cases in HR practices while enhancing the employer brand

  • Mapping the recruitment process (before, during, and after).
  • Employer Brand and the Selection of AI Tools.
  • HR Challenges That Can Be Resolved by AI.
  • Criteria for Choosing an AI Tool (ROI, UX, Ethics).

5
Using Generative AI to Optimize Business Practices

  • Prompt engineering for recruiters (job postings, candidate messages, scoring).
  • Task automation: writing, summarizing, and analyzing resumes.
  • Best practices (human oversight, verification, confidentiality).
Exercise
Practical Exercise: Write a proposal and a tagline. Create an interview guide using AI.

6
Developing a Responsible AI Strategy for Recruitment

  • Gradual integration into existing processes.
  • Change Management Support (HR teams and managers).
  • Monitoring, evaluation, and continuous improvement of practices.
Exercise
Action Plan: Develop an AI Roadmap Tailored to Your Business.



This programme is an original creation, developed by the teaching teams at ORSYS Formation. Any reproduction, representation, adaptation or use, in whole or in part, without the prior written authorisation of ORSYS, is strictly prohibited. ORSYS reserves the right to take any action necessary to protect its intellectual property rights.

Dates and locations

Dernières places
Date garantie en présentiel ou à distance
Session garantie
From 14 to 15 December 2026
FR
Remote class
Registration
From 28 to 29 January 2027
FR
Remote class
Registration
From 13 to 14 May 2027
FR
Remote class
Registration
From 17 to 18 June 2027
FR
Remote class
Registration
From 8 to 9 July 2027
FR
Remote class
Registration
From 7 to 8 October 2027
FR
Remote class
Registration
From 9 to 10 December 2027
FR
Remote class
Registration

REMOTE CLASS
2026 : 14 Dec.

2027 : 28 Jan., 13 May, 17 June, 8 July, 7 Oct., 9 Dec.



This programme is an original creation, developed by the teaching teams at ORSYS Formation. Any reproduction, representation, adaptation or use, in whole or in part, without the prior written authorisation of ORSYS, is strictly prohibited. ORSYS reserves the right to take any action necessary to protect its intellectual property rights.