AI in Human Resource Management

By Prof. Abraham Cyril Issac | IIT Guwahati

Learners enrolled: 24996 | Exam registration: 1218

ABOUT THE COURSE:

Human resource management is an essential part of management education as it centers around the activities of individuals nested within the system and interacting amongst themselves and the system to create output. Dynamics of HR is now ready to adopt AI in its advent. The focus on AI in HRM is the crux of this course which will equip the participants to understand human resource management by applying state-of-the-art artificial intelligence technology. The course encompasses the detailing of the use of AI that helps in improving efficiency and developing a talented and productive workforce. AI has created a variety of opportunities for HR functions. AI for HR empowers HR professionals to leverage this potential. By the end of this course, students are expected to understand the current technology landscape and the latest AI developments, and undoubtedly the HR professionals will understand what AI is and what it means for HR in practice. Covering everything from recruitment and retention to employee engagement and learning and development, and the value AI can add to HR, it also features discussions on the challenges that can arise from AI and how to deal with them.

Audience will be able to:

1. Fully understand the concepts of AI and its relevance to the HR management.

2. Equip themselves with the knowledge of AI-based tools and systems.

3. Make organizations more vibrant and stable by embracing the developments in AI technology.

4. Undertake better management practices and decisions

INTENDED AUDIENCE: MBA, EMBA, Management students pursuing or have completed post-graduate course; students of any other discipline pursuing degree in management education, Industry Professionals, AI and technology enthusiasts, HR Professionals, etc

INDUSTRY SUPPORT: Any organization with significant human interaction and looking towards AI integration within the workforce and work practices will value this course as it covers the basic tenets of Human Resource Management with a use of disruptive technology

Summary

Course Status :	Upcoming
Course Type :	Core
Language for course content :	English
Duration :	12 weeks
Category :	Management Studies Human Resource Management
Credit Points :	3
Level :	Postgraduate
Start Date :	20 Jan 2025
End Date :	11 Apr 2025
Enrollment Ends :	03 Feb 2025
Exam Registration Ends :	14 Feb 2025
Exam Date :	04 May 2025 IST

Note: This exam date is subject to change based on seat availability. You can check final exam date on your hall ticket.

Page Visits

Course layout

Week 1:
Module 1-Understanding AI
Lecture 1: Deploying AI in HR Practices
Lecture 2: Introduction to AI tools
Lecture 3: Leveraging AI for Diversity Management

Week 2:

Module 2-Adopting AI in HR practices
Lecture 1: Decision making
Lecture 2: Adoption of AI in Task automation, Recruitment, and Talent acquisition
Lecture 3: HR Metrics

Week 3:
Module 3-Usage of AI in various functions of HR
Lecture 1: Using AI in Workforce Planning
Lecture 2: Using AI in Employee Training
Lecture 3: Using AI in Performance Appraisal
Lecture 4: : Using AI for Employee Retention
Lecture 5: Ethical concerns in using AI in various functions of HRM

Week 4:
Module 4-AI in Performance Management, Onboarding,Person-job fit(Part-1)
Lecture 1: Role of AI in Performance Management
Lecture 2: Application of AI in Onboarding
Lecture 3: Using AI in Person -job fit

Week 5:
Module 5-SMART HRM AI in HR analytics,People analytics,(Part-2)
Lecture 1: SMART HRM
Lecture 2: HR Analytics
Lecture 3: People Analytics Using AI
Lecture 4:HR administration application

Week 6:
Module 6-Innovation & HR(Part-1)
Lecture 1: AI-Augmented HRM
Lecture 2: Learning and Development Programmes
Lecture 3: Disruptiveinnovation in HRM: Future of HRM

Week 7:
Module 7-Innovation & HR(Part-2)
Lecture 1: HRM in the era of Generative AI
Lecture 2: Building Organizational Capabilities through AI Driven HRM
Lecture 3: Metaverse in HRM

Week 8:
Module 8-Challenges and Future Opportunities of AI in HRM
Lecture 1: Challenges of AI adoption in HRM
Lecture 2: HRM digitalization Success and Future Opportunities.
Lecture 3: AI in Career Succession Planning of Employees

Week 9:
Module 9-Emerging Trends of AI in HRM (Part-1)
Lecture 1: AI in Sustaining Green HRM
Lecture 2: Emerging trends of AI based HRM
Lecture 3: Benefits of Synergizing AI and HRM

Week 10:
Module 10-Emerging Trends of AI in HRM (Part-2)
Lecture 1: AI in Compensation & Benefits
Lecture 2: AI in Compliance
Lecture 3: AI- Mediated Knowledge Management

Week 11:
Module 11-AI tools and Employee Experiences
Lecture 1: AI in SHRM
Lecture 2: HRP& HR Chatbots
Lecture 3: Using AI in enhancing employee

Week 12:
Module 12-AI and Company Culture and its concomitance with HR Practices
Lecture 1: HR & Company Culture
Lecture 2: Adopting AI in Managing Company Culture
Lecture 3: Boon or Curse: Co-existence of HR & AI
Lecture 4: AI in Knowledge Management

Books and references

Ben Eubanks (2018). Artificial Intelligence for HR: Use AI to Support and Develop a Successful Workforce. Kogan Page Publishers, 2018

Strohmeier, Stefan (2022). Handbook of Research on Artificial Intelligence in Human Resource Management. Edward Elgar Publishing, 2022

Instructor bio

Prof. Abraham Cyril Issac

IIT Guwahati

Prof. Abraham Cyril Issac is an Assistant Professor in the School of Business at the Indian Institute of Technology Guwahati, India. He is a Ph.D from the Indian Institute of Technology Madras and Swinburne University of Technology, Melbourne. He is a Mechanical Engineer from Malaviya National Institute of Technology Jaipur and holds postgraduate degrees in Business Administration, Psychology and Business Laws from, National Institute of Technology Calicut, University of Madras and NLSIU Bangalore respectively. He specializes now in Organizational Behaviour with a special focus on a relatively new construct of "Knowledge hiding" and is one of the most productive researchers in the area. His academic interests include Human Resource Management, Knowledge Management, and Strategy. He is the recipient of the IIT Madras Institute Research Award 2021 and the R.N. Rajendran Best Thesis Award. He has published and presented extensively in various reputed international journals and conferences. Apart from his regular teaching and research assignments, he also engages actively in consultancy, training and coaching programmes.

Publications:

2 ABDC-A, 7 ABDC-B, and 3 ABDC-C journals.

Achievements:

IIT Madras Institute Research (IR) Award 2021 for his excellent Ph.D work

R. N Rajendran Award for Best Thesis in Organizational Behaviour/Human Resource Management.

Area of interests:

Organizational Behaviour

Human Resource Management

Knowledge Management

Macroeconomics.

Course certificate

The course is free to enroll and learn from. But if you want a certificate, you have to register and write the proctored exam conducted by us in person at any of the designated exam centres.

The exam is optional for a fee of Rs 1000/- (Rupees one thousand only).

Date and Time of Exams:May 4, 2025 Morning session 9am to 12 noon; Afternoon Session 2pm to 5pm.

Registration url: Announcements will be made when the registration form is open for registrations.

The online registration form has to be filled and the certification exam fee needs to be paid. More details will be made available when the exam registration form is published. If there are any changes, it will be mentioned then.

Please check the form for more details on the cities where the exams will be held, the conditions you agree to when you fill the form etc.

CRITERIA TO GET A CERTIFICATE

Average assignment score = 25% of average of best 8 assignments out of the total 12 assignments given in the course.

Exam score = 75% of the proctored certification exam score out of 100

Final score = Average assignment score + Exam score

Please note that assignments encompass all types (including quizzes, programming tasks, and essay submissions) available in the specific week.

YOU WILL BE ELIGIBLE FOR A CERTIFICATE ONLY IF AVERAGE ASSIGNMENT SCORE >=10/25 AND EXAM SCORE >= 30/75. If one of the 2 criteria is not met, you will not get the certificate even if the Final score >= 40/100.

Certificate will have your name, photograph and the score in the final exam with the breakup.It will have the logos of NPTEL and IIT Guwahati .It will be e-verifiable at nptel.ac.in/noc.

Only the e-certificate will be made available. Hard copies will not be dispatched.

Once again, thanks for your interest in our online courses and certification. Happy learning.

- NPTEL team