AI for Human Resource Managers and Practitioners

AI for Human Resource Managers and Practitioners

Created by

Angel Zumakpeh

01:04:13 Hours

1 Enrolled

    • (0 Reviews)

English

Last updated

Tue, 13-Aug-2024

Course description

AI in Human Resources (HR) is transforming the way HR professionals manage talent, streamline processes, and enhance employee experiences

What will i learn?

  • Enhanced Recruitment Process
  • Efficient candidate screening and engagement using AI
  • Personalized onboarding and learning journeys
  • Real-time performance feedback and goal tracking
  • Predictive workforce demand forecasting
  • Identification of skill gaps and training needs
  • Ethical AI Implementation
  • Mitigation of biases in HR decision-making.

Requirements

  • Basic Computer Skills
  • Understanding of what AI is and its general applications.
  • Personalized onboarding and learning journeys.
  • Basic understanding of human resource management
  • Ability to think critically and analytically.
  • Awareness of ethical considerations and the importance
  • Ability to communicate ideas effectively.

Frequently asked question

AI enhances HR management by improving the efficiency of recruitment processes, personalizing employee development, streamlining administrative tasks, and providing real-time performance feedback. It also helps in predictive analytics for hiring and retention, reducing bias, and fostering a fair and inclusive workplace.

AI aids in the recruitment process by automating candidate screening, conducting initial interviews through chatbots, and using predictive analytics to forecast hiring needs. This not only saves time but also increases the accuracy of candidate selection and improves the overall candidate experience.

Ethical considerations include ensuring data privacy and security, avoiding algorithmic bias, maintaining transparency in AI-driven decisions, and balancing human judgment with AI recommendations. HR professionals must also ensure compliance with anti-discrimination laws and ethical guidelines.

AI can identify individual skill gaps and recommend tailored training programs, personalize learning content based on employees' learning patterns and preferences, and provide real-time feedback to enhance performance management. This ensures that each employee receives the support they need to grow and develop in their career.

Challenges include managing data privacy and security, ensuring regulatory compliance, addressing employee acceptance and trust, mitigating algorithmic bias, and providing adequate reskilling and training for employees. Effective change management and transparent communication are crucial for successful AI integration. .

Angel Zumakpeh

Systems Administrator

Emmanuel Gbeve

Emmanuel Gbeve is a seasoned professional with over 15 years of dedicated experience in Information Systems.

Emmanuel Gbeve is a seasoned professional with over 15 years of dedicated experience in Information Systems. With a proven track record of managing numerous successful IT projects, Emmanuel has become a trusted leader in the field of technology and innovation. Currently serving as the Chief Technology Officer (CTO) at AIDEC Digital, Emmanuel leads a dynamic team in the development and management of cutting-edge solutions and applications for businesses spanning the globe.His visionary leadership and deep technical expertise have propelled AIDEC Digital to the forefront of the AI industry, delivering impactful solutions that drive efficiency, productivity, and growth for companies worldwide. Emmanuel's passion for harnessing the power of technology to solve complex business challenges has been a driving force throughout his career.

$10

$25

Lectures

25

Skill level

Beginner

Expiry period

Lifetime

Certificate

Yes
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