Practical Use of Artificial Intelligence in Human Resource Management
Training Objectives
- The aim of the training is to provide participants with practical skills on how to effectively implement artificial intelligence into various HR processes, facilitating recruitment, talent management, and increasing employee engagement. The program also discusses potential challenges associated with artificial intelligence in HR.
Target Audience
The training is aimed at:
- HR specialists who are looking for modern solutions in human resource management.
- Managers responsible for developing HR strategies.
- HR representatives who lead, supervise, and streamline employee service processes, from recruitment to transfers and reskilling.
Benefits
- Learn about the practical applications of AI in everyday HR processes.
- Increase the efficiency of HR activities by automating routine tasks.
- Improve employee experience and satisfaction through personalized approaches.
- Prepare for the challenges of AI implementation, such as data protection and the development of new professional skills.
Topics Covered
- Basics of using AI in HR:
- Analysis of global AI trends and their impact on the HR industry.
- Transforming HR strategies from reactive to proactive with AI.
- Automation of administrative tasks in HR:
- Improving processes such as payroll, benefits management, and onboarding.
- Recruitment and talent selection with AI support:
- How AI supports recruitment processes, reduces subjectivity, and speeds up hiring, illustrated with examples.
- Presentation and demonstration of HR support tools that rely on artificial intelligence.
- Data analysis and forecasting future needs:
- How AI can be used to analyze HR data to understand trends and make better decisions.
- Case study analysis and working with artificial intelligence tools.
- Creating unique experiences for employees:
- Personalizing career paths and onboarding programs based on internal data and analysis.
- Managing AI challenges:
- Discussion on ethics in AI, data protection, and the need to develop AI-related skills in HR.
- Case study:
- Analysis of real-world AI applications in large and small organizations, highlighting benefits and lessons learned.
Learning Mode
- The training is conducted online with interactive question and answer sessions and workshops.
- The workshops are very practical, focusing on the real-world application of the knowledge gained. Participants have the opportunity to use specific artificial intelligence tools both in demonstrations and in tasks to be completed.
- Schedule: 8 hours, divided into two days.
Detailed Online Training Plan
Online training (2 days, 1:00 p.m. to 5:00 p.m.)
Day 1:
Block 1: Basics of Using AI in HR.
- Analysis of global AI trends and their impact on the HR industry.
- Transforming HR strategy from reactive to proactive with AI.
- Key areas of AI application in human resource management.
- Identifying HR processes with the greatest potential for optimization.
10-minute break
Block 2: Automation of Administrative Tasks in HR.
- Improving processes such as payroll, benefits management, and
onboarding. - Tools for automatic processing of HR documents.
- Intelligent employee data management systems.
- Artificial intelligence agents in HR – introduction and examples of operation:
- How autonomous AI agents work in the context of HR processes.
- Demonstration of an AI agent handling employee queries about policies and procedures.
- Examples of agent use in onboarding and internal training.
10-minute break
Block 3: AI-Supported Talent Recruitment and Selection
- How AI supports recruitment processes and reduces subjectivity.
- Intelligent candidate preselection and CV analysis.
- Tools for conducting preliminary interviews.
- Presentation and demonstration of AI-based recruitment tools.
Day 2:
Block 4: Data Analysis and Forecasting Future Needs.
- How AI can be used to analyze HR data to understand trends.
- Predictive analytics of employee turnover – practical exercise:
- Comparison of Google Gemini and ChatGPT capabilities in predictive analytics.
- Step 1: Preparing anonymized historical data on employee turnover.
- Step 2: Formulating appropriate queries for both models.
- Step 3: Analyzing results and identifying key factors influencing turnover.
- Step 4: Discussion on the differences in the approaches of both models and the practical value of the information obtained.
- Identifying competency gaps and planning talent development.
- Using AI to forecast future employment needs.
10-minute break
Block 5: Creating Unique Experiences for Employees.
- Personalization of career paths and onboarding programs.
- AI in employee onboarding and adaptation processes.
- Intelligent recommendation systems for training and development programs.
- Using AI to increase employee engagement.
- Demo: Preparing GDPR-compliant data for use with AI:
- Presentation of the employee data anonymization process.
- Techniques for pseudonymizing personal data.
- Creating training data sets without identifying information.
- Practical example of transforming real HR data into a GDPR-compliant format.
- Demonstration of tools for automatically detecting and removing sensitive data.
10-minute break
Block 6: Managing AI Challenges and Case Studies.
- Discussion on ethics in AI and employee data protection.
- Legal regulations concerning the use of AI in HR processes (GDPR, AI Act).
- Analysis of real-life applications of AI in large and small organizations.
- Practical exercise: Planning the implementation of a selected AI solution in a company.
- Q&A session and training summary
Speaker Profile
Arkadiusz (Arek) Skuza is an expert in artificial intelligence and data monetization, with over 20 years of experience in advising European and American company management boards. As a consultant and implementer of AI strategy solutions, Arek specializes in using technology to increase business process efficiency, productivity, and sales and marketing. His achievements include generating savings of $13.3 million in AI projects, significantly shortening product development cycles, and improving sales metrics by 500%.
His clients include Allegro, Ikea, Shell, Maspex, Modoma, Solereis, Krishome, and over 20 other companies in the US and Europe. Arek is a highly regarded trainer and speaker who has conducted over 160 lectures and workshops in Europe and the US on business model transformation and the use of AI. He is a lecturer at American and Polish MBA programs. Arek was elected to the board of Tech Titans, actively engaging in the development of AI in the US state of Texas. His approach combines deep technical knowledge with a practical understanding of business needs, making him a unique expert in the field of AI and business innovation.
Arek’s publications can be found at https://arekskuza.com/the-innovation-blog/.
Pricing Details
- Cost: The cost of an 8-hour workshop for one group is €3,500.