Course : AI Act for HR: Ensuring Safe HR Practices and Preventing AI-Related Risks

Practical course - 1d - 7h00 - Ref. AAN
Price : 890 CHF E.T.

AI Act for HR: Ensuring Safe HR Practices and Preventing AI-Related Risks



New course

HR functions are directly affected by the AI Act, particularly in the areas of recruitment, performance evaluation, and talent management. These uses are often classified as high-risk and entail stricter requirements. This training enables HR professionals to understand these requirements and adapt their practices to ensure compliance, fairness, and transparency in the use of AI tools.


INTER
IN-HOUSE
CUSTOM

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

Ref. AAN
  1d - 7h00
890 CHF E.T.




HR functions are directly affected by the AI Act, particularly in the areas of recruitment, performance evaluation, and talent management. These uses are often classified as high-risk and entail stricter requirements. This training enables HR professionals to understand these requirements and adapt their practices to ensure compliance, fairness, and transparency in the use of AI tools.


Teaching objectives
At the end of the training, the participant will be able to:
Identify the uses of AI covered by the AI Act in HR processes
Assessing the Risk Level of AI Tools Used in Recruitment and Talent Management
Apply the key requirements of the AI Act to HR activities
Identify risks of bias, discrimination, and noncompliance
Implement measures to monitor and ensure the security of HR practices

Intended audience
HR managers, recruiters, talent development managers, HR business partners.

Prerequisites
Basic knowledge of the AI
and the Act
.

Practical details
Methodological insights illustrated by real-world HR use cases. Case studies from the fields of recruitment, talent management, and employee evaluation. Collaborative workshops on analyzing and ensuring compliance with HR processes. Exchange of experiences and sharing of best practices among participants.

Course schedule

1
Identify the uses of AI in HR processes

  • Identify current uses of AI in recruitment, assessment, and talent management
  • Understanding Why Certain HR Tools Are Considered High-Risk AI Systems
  • Identify practices that are prohibited or strictly regulated by the AI Act
  • Assessing issues related to equity, non-discrimination, and the protection of employees’ and candidates’ rights
  • Assessing the Impact of AI on HR Decisions
Hands-on work
Mapping of AI tools and use cases within the company’s HR processes. Working in small groups, participants identify the use cases covered by the AI Act, assess their level of risk, and share key points to watch for.

2
Apply Regulatory Requirements to HR Activities

  • Understanding the requirements for AI systems used in recruitment and human resources management
  • Ensure transparency in processes for candidates and employees
  • Implement human oversight of AI-assisted decisions
  • Verify the quality, relevance, and representativeness of the data used
  • Identify the company's responsibilities as a user of AI solutions
Hands-on work
Analysis of an AI-assisted recruitment process. Participants identify the applicable requirements, the risks of noncompliance, and the measures to be implemented to secure the system.

3
Adapting HR Practices and Governance

  • Revise HR procedures to incorporate AI tools
  • Define the roles and responsibilities of HR professionals in monitoring AI systems
  • Update internal policies and governance rules
  • Raise awareness among managers and recruiters about regulatory requirements
  • Document the uses of AI and the controls implemented
Hands-on work
Collaborative workshop to review an HR procedure (recruitment, internal mobility, or performance evaluation). Participants identify the necessary adjustments to incorporate the requirements of the AI Act and formalize the actions to be implemented.

4
Preventing Bias and Ensuring Sound HR Decisions

  • Identify the risks of direct or indirect discrimination associated with algorithms
  • Identify potential biases in the data and models used
  • Establish monitoring and alert mechanisms
  • Handling Incidents and Disputes Related to an AI-Assisted Decision
  • Developing a Process for Continuous Improvement in Compliance
Hands-on work
Case study on algorithmic bias in a hiring or promotion process. Working in groups, participants analyze the causes of the problem, assess the legal and HR implications, and then develop a corrective action plan.



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
On 4 December 2026
FR
Remote class
Registration
On 5 March 2027
FR
Remote class
Registration
On 14 June 2027
FR
Remote class
Registration
On 24 September 2027
FR
Remote class
Registration
On 29 November 2027
FR
Remote class
Registration

REMOTE CLASS
2026 : 4 Dec.

2027 : 5 Mar., 14 June, 24 Sep., 29 Nov.



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.