AI-HR-Glossary

Top 100 AI Terms Every HR Professional Must Know

A B C D E F G H I J K L M N P R S T U V W Z

A

Adaptive Learning with AI

 AI personalizes learning paths for employees based on their individual strengths, weaknesses, and learning styles

AI Explainability for HR Teams

 Equipping HR professionals with the knowledge and tools to understand how AI recommendations are made, fostering transparency and trust in AI-driven decisions

AI for Employee Self-service

 Empowering employees with AI-powered self-service tools for tasks like requesting leave, updating personal information, or accessing HR resources

AI for HR Compliance

Leveraging AI to ensure HR processes comply with regulations (e.g., automating data privacy compliance checks)

AI for Work-Life Balance

 AI tools can assist employees with managing their workload, scheduling personal time, and promoting healthy work-life boundaries

AI-driven Gig Economy Management

Utilizing AI to manage a flexible workforce of gig workers or freelancers, streamlining onboarding, task allocation, and payment processes

AI-powered Creativity Support

 Imagine AI as a brainstorming partner! This could involve generating creative ideas, analyzing vast amounts of data for inspiration, or even helping with tasks like writing different creative text formats

AI-powered Workload Management

Using AI to analyze workload data and distribute tasks fairly among employees, preventing burnout and promoting well-being

Algorithmic Bias Detection

 Identifying and mitigating potential biases within AI algorithms used in HR processes

Applicant Tracking System (ATS) Integration

 Seamless connection between your ATS and AI for a streamlined recruitment experience (e.g., AI-powered resume screening).

Augmented Cognition

 Enhancing human cognitive abilities using AI tools like wearable devices or brain-computer interfaces, potentially improving decision-making and problem-solving in the workplace

Augmented Onboarding

 Using AR/VR technology to enhance the onboarding experience for new hires, providing a more interactive and immersive introduction to the company and role

B

Background Verification (BGV) with AI

 Utilizing AI to automate and expedite background checks (e.g., verifying education and employment

Bias in AI

Understanding how AI algorithms can perpetuate biases in HR processes (e.g., focusing on resumes with specific keywords that exclude diverse candidates)

Biometric Authentication in HR

 Using fingerprints, facial recognition, or other unique biological identifiers for secure employee access or attendance tracking

Blockchain for Secure Talent Records

 Utilizing blockchain technology to create a secure and tamper-proof record of employee skills, qualifications, and work history

C

Candidate Experience (CandEx)

 Focusing on improving the entire recruitment process for candidates, with AI streamlining steps and providing clear communication

Chatbots in HR

 Conversational AI tools used to answer employee questions, provide self-service options, and automate basic HR tasks (e.g., scheduling interviews, answering benefits questions)

Cognitive Automation

 Automating tasks that require human-level cognitive skills like judgment, creativity, and critical thinking, with AI working alongside humans in these tasks

Continuous Learning AI

 Developing AI systems that can continuously learn and improve from real-time data and interactions within the work environment

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Continuous Performance Management

 Moving away from annual reviews and using AI for real-time feedback and ongoing performance conversations

Conversational AI for Learning & Development

 Utilizing chatbots and virtual assistants to deliver personalized learning experiences and answer employee training questions

D

Data-Driven HR

 Leveraging data and AI to inform HR decisions and processes (e.g., using data to identify high-potential candidates or predict employee turnover)

 

Digital Nomadism with AI

 Utilizing AI tools to facilitate a location-independent work style, supporting remote workers with scheduling, communication, and collaboration

Digital Twins in HR

 Creating digital representations of employees based on data to simulate performance scenarios and optimize training programs

E

Emotional AI

 AI that can recognize and understand human emotions, potentially used for employee sentiment analysis or personalized coaching

 

Empathic AI

 AI that can not only understand emotions but also respond in a way that is sensitive and supportive, potentially used for employee well-being initiatives or customer service interactions

 

Employee Engagement Surveys with AI

 AI can analyze employee survey data to identify key trends and areas for improvement in employee engagement

 

Ethical AI in HR

Understanding and applying ethical principles when using AI in HR processes (e.g., ensuring data privacy and fair treatment of all employees)

 

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Explainable AI (XAI)

 Making AI models understandable and interpretable by humans, ensuring decision fairness (e.g., understanding why an AI system recommends a particular candidate)

 

Explainable Recruitment Chatbots

 AI-powered chatbots that can not only answer candidate questions but also explain their reasoning behind job recommendations

 

F

Federated Learning for HR Data

 Training AI models on decentralized datasets from multiple companies without compromising individual data privacy

 

G

Gamification in L&D

Applying game mechanics to make learning experiences engaging and improve employee training effectiveness (e.g., using points, badges, and leaderboards)

 

Gamified Performance Management

 Applying game mechanics like points, badges, and leaderboards to make performance management more engaging and motivating for employees

 

Generative AI for HR

 Using AI to create new content relevant to HR, such as generating customized job descriptions or personalized learning materials

 

Generative Pre-boarding Content

 Utilizing AI to create personalized pre-boarding content for new hires, such as welcome videos or role-specific training materials

 

H

Human-AI Teaming

 The concept of humans and AI working together as a team, leveraging each other’s strengths to achieve optimal outcomes in complex tasks

 

Human-Centered Design (HCD) in AI

Designing AI systems that prioritize the needs and well-being of employees (e.g., ensuring AI-powered performance evaluations are fair and transparent)

 

Human-in-the-Loop AI

 A collaborative approach where AI assists HR professionals in tasks like candidate screening or performance evaluation, but the final decision remains with the human

 

Hyper-automation

 Combining multiple AI technologies (RPA, IPA, ML) to automate complex HR processes end-to-end

 

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Hyperpersonalization at Work

 AI personalizes the work experience for each employee, tailoring tasks, learning opportunities, and communication styles to individual preferences and needs

 

I

Intelligent Process Automation (IPA)

Using AI to automate repetitive tasks in HR workflows, freeing up HR professionals for strategic work (e.g., automating onboarding paperwork or expense approvals)

 

Internal Mobility with AI

 Using AI to identify potential candidates for internal job openings based on skills, experience, and career aspirations

 

J

Job Crafting with AI

 AI can analyze data to identify opportunities for job redesign, allowing employees to customize their roles and utilize their full skillset

 

K

Knowledge Management with AI

AI-powered tools to capture, organize, and share organizational knowledge more efficiently, improving employee access to relevant information

 

L

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Learning Experience Platforms (LXPs) with AI

 Platforms that integrate various learning technologies with AI personalization for a more engaging and effective learning experience

 

M

Machine Learning (ML)

 A type of AI that allows systems to learn and improve from data without explicit programming, used for tasks like resume screening or predicting skills gaps

 

Machine Learning for Compensation and Benefits

 Using AI to analyze data and create fair and competitive compensation and benefits packages for employees

 

Micro-credentialing with AI

 AI can streamline the process of issuing and verifying micro-credentials for specific skills, demonstrating employee competence and facilitating career development

 

Microlearning with AI

 Delivering bite-sized, AI-powered learning modules that are personalized and easily accessible for busy employees

 

N

Natural Language Processing (NLP)

The ability of AI to understand and process human language, used for tasks like analyzing employee sentiment in surveys or social media

 

Neuro-adaptive Learning with AI

 This futuristic term delves into the potential of AI to personalize learning experiences based on an individual’s real-time brain activity. Imagine AI analyzing brainwaves and physiological responses to tailor learning content, difficulty, and delivery methods to optimize knowledge retention and engagement for each employee

 

Neurodiversity and AI

 Understanding how AI can be used to create inclusive workplaces that cater to the needs of neurodiverse employees

 

Neuroergonomics and AI

 Understanding how AI can be designed to work seamlessly with the human brain, optimizing human-machine interaction and minimizing cognitive overload

 

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Neuro-Linguistic Programming (NLP) for Interviewing

 Utilizing NLP techniques to analyze an interviewee’s language and communication style to assess cultural fit and suitability for the role

 

P

People Analytics

 Analyzing data related to people within an organization to gain insights into workforce trends, talent management, and employee well-being. AI can automate and enhance people analytics

 

Performance Management with AI

 Leveraging AI to analyze employee performance data and provide personalized feedback and development opportunities

 

Phygital Workspaces

 Blending physical and digital elements in the workplace. AI can enhance this environment by providing real-time data visualizations or interactive workspaces

 

Pre-boarding with AI

Utilizing AI to automate and personalize the pre-boarding process for new hires, ensuring a smooth transition (e.g., sending automated welcome emails or providing access to training materials)

 

Predictive Analytics

 Using AI and data to predict future outcomes, such as employee turnover risk, helping with proactive HR strategies

 

Predictive Maintenance with AI

 Using AI to analyze data from equipment and predict potential failures, allowing for preventative maintenance and minimizing operational disruptions

 

Predictive Skills Gap Analysis

 AI can analyze industry trends and future job requirements to proactively identify potential skill gaps within the workforce and develop relevant training programs

 

Psychometric Assessments with AI

 Using AI to analyze psychometric test results for a more efficient and objective candidate evaluation process

 

R

Real-time Employee Sentiment Analysis

 Using AI to analyze employee communications across different channels and identify potential issues or areas of dissatisfaction in real-time

 

Real-time Feedback with AI

 AI can analyze data and provide employees with immediate feedback on performance, allowing for continuous improvement

 

Recruiter Bias

 Recognizing unconscious biases in traditional hiring practices and how AI can mitigate bias through data-driven approaches

 

Responsible AI Development for HR

 Developing and implementing AI tools in HR with a focus on ethical considerations, fairness, and transparency

 

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Responsible AI in HR

 Actively promoting ethical and responsible use of AI in HR practices, mitigating bias and ensuring fairness

 

Robotic Process Automation (RPA) as a Service (RaaS)

 Accessing and utilizing RPA capabilities on a subscription basis, making automation more accessible for organizations of all sizes

 

S

Sentiment Analysis for Onboarding Feedback

 AI can analyze feedback from new hires during onboarding to identify areas where the process can be improved or personalized

 

Sentiment Analysis in Performance Reviews

 AI can analyze text from performance reviews to identify potential areas for improvement or positive reinforcement

 

Skill Matching with AI

 Matching employee skills and experience with job requirements using AI algorithms for a more efficient talent deployment

 

Skill Wastage Detection

AI can identify instances where employee skills are not being fully utilized, allowing for better talent deployment and improved employee engagement

 

Skills Gap Analysis with AI

 Using AI to analyze employee skill sets and identify gaps compared to job requirements, facilitating targeted training and development initiatives

 

 

Social Learning with AI

AI can personalize social learning recommendations, connecting employees with relevant learning content and fostering knowledge sharing within the organization

 

Social Media Monitoring with AI

Tracking online conversations about your company or industry for talent acquisition and employer branding (e.g., identifying potential candidates or addressing negative reviews)

 

Social Network Analysis for Talent Management

 Analyzing employee connections and interactions within an organization to identify key talent, potential leaders, or knowledge hubs

 

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Social Recruiting with AI

 Leveraging AI to identify potential candidates on social media platforms and personalize outreach efforts

 

T

Talent Acquisition with AI

 Utilizing AI tools to streamline the recruitment process, source qualified candidates, and improve hiring efficiency

 

 

Talent Marketplace with AI

 An internal platform powered by AI that matches employee skills and aspirations with available opportunities within the organization, promoting career mobility

 

Text Analytics

Extracting meaning and insights from employee documents, emails, or social media data using AI techniques (e.g., identifying employee sentiment or potential areas of concern)

 

The Algorithmic Workplace

Understanding how AI algorithms shape decision-making and workflow within organizations, with a focus on transparency and fairness

 

The Ethics of AI in the Workplace

Addressing ethical considerations surrounding AI in the future of work, such as data privacy, job displacement, and algorithmic bias

 

 

The Future of Work with AI and Humans

 Understanding the evolving nature of work and how collaboration between AI and humans will shape the future of HR and the workforce

 

The Future of Work with AI

Staying informed on how AI is transforming the workplace and how HR professionals can adapt and leverage AI for success (e.g., identifying new skills needed in the AI-powered workforce)

 

Upskilling and Reskilling with AI

 Utilizing AI-powered learning platforms to identify employee skill gaps and provide personalized training pathways for adaptation to the changing work environment

 

V

Virtual Assistant for HR

 AI-powered virtual assistants can answer employee questions, schedule meetings, and manage basic HR tasks, reducing workload for HR teams

 

 

Virtual Collaboration Tools with AI

 AI can enhance collaboration tools by facilitating real-time translation, automatic note-taking, and intelligent meeting summarization

 

 

Virtual Onboarding

Utilizing AI and virtual tools to facilitate a fully remote onboarding experience for new hires, regardless of location

 

Virtual Reality (VR) for Skills Training

 Using VR simulations to provide immersive and realistic training experiences for employees, enhancing learning outcomes

 

W

Wellbeing AI

 AI-powered tools and programs designed to support employee mental and emotional well-being, potentially using chatbots or personalized recommendations

 

 

Workforce Analytics

 Analyzing data related to your workforce to gain insights into employee performance, engagement, and trends. AI can automate and enhance these analytics

 

 

Workforce Gig Economy Platforms

 Platforms powered by AI that connect businesses with a flexible workforce of skilled individuals for specific tasks or projects

 

Workforce Scheduling with AI

 AI can optimize employee scheduling based on skills, availability, and workload demands, improving efficiency and employee satisfaction

 

Workplace Automation with AI

 Automating tasks across various HR functions to free up HR professionals for strategic initiatives

 

 

Z

Zero-touch Recruitment

Using AI to automate the entire recruitment process, from sourcing candidates to scheduling interviews (a future concept still under development)

 

 

Zero-Trust Security with AI

 An evolving security model where continuous verification is required for all users and devices, with AI potentially playing a role in threat detection and response

 

 

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