Buzzword Busters
What is the full form of GPT?
Generative Pre-trained Transformer
What is an AI hallucination, and how could it affect HR outcomes?
An AI hallucination is a false but plausible output; in HR, it could lead to inaccurate guidance or biased decisions.
What does 'AI-native application architecture' mean in HR tech?
It refers to platforms built from the ground up using AI components, not retrofitted with AI later.
What are the most common HR use cases for Generative AI today?
Content generation (e.g., job descriptions), chat-based employee support, and summarising HR documentation.
What is an AI hallucination, and how could it affect HR outcomes?
An AI hallucination is a false but plausible output; in HR, it could lead to inaccurate guidance or biased decisions.
What are transformers in AI, and why are they important for natural language processing?
Transformers are deep learning models that use self-attention to understand context in data. They enable powerful NLP tasks and form the basis of models like GPT and BERT.
What does it mean for AI to be 'explainable' and why is it important in HR?
Explainability refers to transparency in how AI makes decisions, crucial for fairness in hiring or evaluations.
How can extreme weather predictions be used in talent analytics?
They help model impacts on workforce productivity and adjust staffing or remote work strategies accordingly.
How does a GenAI-driven HR virtual assistant differ from a rule-based chatbot?
GenAI assistants generate responses based on context and user history, not predefined scripts.
What does it mean for AI to be 'explainable' and why is it important in HR?
Explainability refers to transparency in how AI makes decisions, crucial for fairness in hiring or evaluations.
Give examples of different data modalities.
Tabular, Time Series, Image, Text, Graph
What are the key components of an ethical AI checklist in HR?
These include bias detection, fairness, transparency, data privacy, and human oversight.
How do HR virtual assistants evolve as AI capabilities mature?
They transition from scripted help to intelligent agents capable of executing end-to-end HR transactions.
How can generative AI improve employee experience in onboarding?
It can personalize content, automate document generation, and simulate onboarding FAQs.
Why is human oversight critical when deploying AI in employee decision-making?
Because AI can misinterpret context, oversight ensures empathy and fairness remain central.
What is "unsupervised" and "supervised" learning in AI?
Supervised learning uses labeled data to train models to make predictions (e.g., spam detection). Unsupervised learning finds patterns or groupings in unlabeled data (e.g., customer segmentation).
Why is human oversight critical when deploying AI in employee decision-making?
Because AI can misinterpret context, oversight ensures empathy and fairness remain central.
How does agentic AI enable HR transformation?
It can autonomously complete workflows and adapt in real time to user needs.
Describe a use case where GenAI could improve internal mobility.
It can analyze skill profiles and recommend stretch assignments or roles using talent marketplace platforms.
How can organizations proactively prevent bias in AI recruiting tools?
By using diverse datasets, regular audits, inclusive design principles, and feedback loops.
What is "overfitting" of a model?
When a model cannot generalise to new data because the training data and the latest data are too similar, or the training dataset is too small.
How can organisations proactively prevent bias in AI recruiting tools?
By using diverse datasets, regular audits, inclusive design principles, and feedback loops.
In what ways is the role of the HR Business Partner changing with AI?
They're becoming solution architects who use insights from AI to shape talent strategies proactively.
What challenges might HR face when deploying generative AI in recruitment?
Bias in outputs, hallucinations, and lack of transparency in decision-making are key challenges.
What are the key components of an ethical AI checklist in HR?
These include bias detection, fairness, transparency, data privacy, and human oversight.