HR Technology
AI Literacy (HR)
The ability of HR professionals to understand, critically evaluate, and effectively utilize AI tools and agentic workflows to drive business outcomes while maintaining ethical standards.
Key Takeaways
- Understanding the difference between ML, NLP, and RAG.
- Identifying bias in AI-driven recruitment models.
- Managing "Agentic Workflows" instead of manual tasks.
- Governing data privacy in an AI-first environment.
Expert Profile
Sujith Sasidharan
CTO & Technical Architect
Sujith Sasidharan
CTO & Technical Architect
Suggested Questions
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# 30-60-90 Day Plan# 360-Degree Feedback# 50% Wage Rule# Accountability Culture# Agentic HR Workflows# Agile OKRs# Chat-First Design# Cloud-Native HR Architecture# Cost to Company (CTC)# EBITDA & HR Efficiency# Employee Engagement# Fixed-Term Employment (FTE)# Full and Final (F&F) Settlement# Gig Worker Social Security# Gratuity (UAE)# HR Automation# Human Capital ROI# Hyper-Personalized Employee Experience# Indian Income Tax Laws (HR)# Indian Labor Codes# KPI Alignment# KSA Labor Law (Qiwa)# Neurodiversity Inclusion# Performance Appraisal# POSH (Prevention of Sexual Harassment)# Psychological Safety# Quiet Ambition# RAG (Retrieval-Augmented Generation)# Recruitment Speed# Right to Disconnect# Role-Based Access Control (RBAC)# Skills-First Hiring# Time to Hire# User Experience (UX) for HR# WPS (Wages Protection System) - UAE# Zero-Training Adoption