Artificial Intelligence AI in Human Resources (HR).pptx

AI in HR
Recruitment and Talent Acquisition
Employee Onboarding
Performance Management
Employee Retention
HR Analytics and Decision Support
Enhancing Employee Experience
Personalized Employee Experiences
Legal and Ethical Considerations
Bias Mitigation

1. Artificial Intelligence AI in HR Dr. A. PRABAHARAN PROFESSOR & RESEARCH DIRECTOR PUBLIC ACTION www.indopraba.blogspot.com

2. AI in HR Artificial Intelligence (AI) is revolutionizing Human Resources (HR), streamlining operations, enhancing decision-making, and improving both employee and candidate experiences. Here are several ways AI is applied within HR:

3. Recruitment & Talent Acquisition www.indopraba.blogspot.com Resume Screening: AI algorithms can quickly scan through thousands of resumes to identify the most suitable candidates based on skills, experience, and other relevant criteria, significantly reducing the time HR professionals spend on this task. Candidate Sourcing: AI tools can proactively search for candidates across various platforms, even identifying passive

4. Employee Onboarding Automated Onboarding Processes: AI streamlines the onboarding process for new hires by automating routine tasks such as paperwork and training schedules, allowing HR staff to focus on more strategic onboarding efforts. Personalized Learning Paths: AI can tailor training programs to individual employees' learning styles and development needs, optimizing their onboarding experience and productivity ramp-up.

5. Performance Management Predictive Analytics: AI tools analyze performance data to identify trends, predict future performance issues, and suggest areas for improvement, helping managers and HR professionals proactively address potential challenges . Feedback and Engagement Analysis: AI-powered sentiment analysis can evaluate employee feedback from surveys, emails, and other communication channels to gauge engagement and morale, providing insights into the overall workplace climate. www.indopraba.blogspot.com

6. Performance Management Predictive Analytics: AI tools analyze performance data to identify trends, predict future performance issues, and suggest areas for improvement, helping managers and HR professionals proactively address potential challenges . Feedback and Engagement Analysis: AI-powered sentiment analysis can evaluate employee feedback from surveys, emails, and other communication channels to gauge engagement and morale, providing insights into the overall workplace climate. .

7. Predictive Analytics: AI tools analyze performance data to identify trends, predict future performance issues, and suggest areas for improvement, helping managers and HR professionals proactively address potential challenges. Feedback and Engagement Analysis: AI-powered sentiment analysis can evaluate employee feedback from surveys, emails, and other communication channels to gauge engagement and morale, providing insights into the overall workplace climate. Performance Management agement

8. Employee Retention and Turnover Prediction Turnover Prediction: By analyzing patterns and factors that contribute to employee turnover, AI can predict which employees are at risk of leaving and provide insights on how to improve their satisfaction and retention . Retention Strategies: Based on AI analysis, HR can develop targeted retention programs and strategies to address specific issues affecting employee satisfaction and engagement. www.indopraba.blogspot.com

9. HR Analytics and Decision Support Workforce Analytics: AI systems aggregate and analyze data on various aspects of the workforce, providing HR with insights into productivity, collaboration patterns, and areas for improvement. Strategic Planning Support: AI tools help in forecasting future workforce needs, scenario planning, and identifying the skills and competencies required for future success, aiding in strategic HR planning .

10. Workforce Analytics: AI systems aggregate and analyze data on various aspects of the workforce, providing HR with insights into productivity, collaboration patterns, and areas for improvement . Strategic Planning Support: AI tools help in forecasting future workforce needs, scenario planning, and identifying the skills and competencies required for future success, aiding in strategic HR planning. Enhancing Employee Experience www.indopraba.blogspot.com

11. Personalized Employee Experiences AI can personalize employee experiences in areas such as learning and development, benefits selection, and even daily workplace interactions, increasing employee satisfaction and engagement . AI for Employee Wellness: AI applications offer personalized health and wellness recommendations, mental health support, and monitor stress levels, contributing to overall employee well-being. www.indopraba.blogspot.com

12. www.indopraba.blogspot.com Legal and Ethical Considerations Bias Mitigation AI in HR also brings challenges, such as potential biases in AI algorithms. There's a growing focus on developing transparent, fair AI systems that support diversity and inclusion efforts . Data Privacy: Ensuring the privacy and security of employee data is paramount. AI applications in HR must comply with data protection regulations and ethical standards.

13. www.indopraba.blogspot.com End Note AI in HR is not just about automation; it's about enabling a more strategic, data-driven approach to managing people and enhancing the employee experience. As AI technologies evolve, their potential to transform HR practices continues to expand, offering opportunities for innovation and improvement across all aspects of human resources management.