Say it like this
- We're leveraging AI to automate this process.
- The AI model needs more training data to improve accuracy.
- Our company is investing heavily in artificial intelligence research.
Use it at work
Talking about the product
- We use artificial intelligence to sort support tickets.
- The new search uses AI to understand questions.
Being careful
- AI gives a draft, but a person checks it before we send it.
- We need to explain to users when AI is involved.
In an interview
- I've worked on AI features for two years.
- How does your team use AI in daily work?
Don't say this
AI is a tool for specific tasks; not every feature requires AI. Be precise about what problem you are solving.
Don't mix it up
| Term | What it is | Who writes or uses it | When |
|---|---|---|---|
| artificial intelligence (AI) | Computers doing tasks that need thinking | Everyone | General term |
| machine learning | Systems that learn patterns from data | Data scientists, ML engineers | When training models |
| generative AI | AI that creates text, images or code | Product and engineering | Chatbots, copilots |
Practice
Try it
4 quick exercises
1. Our team deployed a new _______ system to improve the accuracy of fraud detection.
2. Which sentence uses 'artificial intelligence' correctly?
3. Your team successfully implemented a new predictive model. How do you describe it?
4. Rewrite using 'artificial intelligence' naturally: 'We need a computer system that can learn from data and make decisions without us telling it exactly what to do.'
Say it out loud
Phrase 1 of 3
"We're leveraging AI to automate this process."
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More about artificial intelligence
Real examples(3)
- in a standup
"We completed the initial training phase for our AI system, and it's now ready for testing with real user data."
- in a code review
"This AI implementation uses a neural network architecture that we discussed in the design doc."
- in a team meeting
"Our competitors are using AI to enhance their search functionality, so we should prioritize this feature in our roadmap."
More mistakes(2)
Handle with care. Often abbreviated as AI; do not confuse with machine learning (a subset of AI). Not all automation is AI.
- ✕The artificial intelligence is broken.✓The machine learning model is producing inaccurate predictions.
AI is too broad; specify which component or system is malfunctioning.
- ✕We implemented artificial intelligence last sprint.✓We integrated artificial intelligence features last sprint.
Use more specific verbs like train, deploy, or integrate to clarify what was done.
Other forms(3)
- artificial intelligence noun
"Artificial intelligence is transforming how we develop software."
- AI-powered adjective
"Our new AI-powered chatbot handles customer support requests automatically."
- AI abbreviation
"The team is exploring AI solutions for our data analysis pipeline."
Often used with(5)
- machine learning · Often used together; machine learning is a subset of AI focused on algorithms that learn from data.
- AI model · Refers to a trained artificial intelligence system used for specific tasks.
- train AI · The process of teaching an artificial intelligence system using datasets.
- deploy AI · To put an artificial intelligence system into production for real-world use.
- AI algorithm · The mathematical or computational method underlying an artificial intelligence system.
Similar words(3)
- machine learning · A subset of AI; not all AI involves machine learning, though the terms are often used interchangeably.
- intelligent automation · A broader business term; emphasizes automation with cognitive abilities rather than pure intelligence.
- cognitive computing · Less common in everyday tech English; refers to systems that mimic human cognition.
Opposites(3)
- manual process
- hardcoded logic
- rule-based system
Questions(4)
- What is the difference between artificial intelligence and machine learning?
- Artificial intelligence is the broader field of creating machines that simulate human intelligence. Machine learning is a subset of AI that focuses on algorithms learning patterns from data. All machine learning is AI, but not all AI uses machine learning; some AI systems use rule-based logic or other approaches.
- How do you use artificial intelligence in a work conversation?
- Use specific language: avoid saying 'We use AI' without context. Instead, say 'We use AI for customer segmentation' or 'We deployed a machine learning model to detect fraud.' This clarity helps non-technical stakeholders understand what you are building.
- Is artificial intelligence formal or informal?
- Artificial intelligence is neutral and appropriate in both formal and informal settings. In casual conversations, people often use the abbreviation AI. In formal presentations or documentation, use the full term or AI after introducing it once.
- Should I say AI or artificial intelligence?
- Both are correct and widely used. Use AI when the context is already established or in technical conversations. Use artificial intelligence when introducing the concept formally or writing for audiences unfamiliar with tech abbreviations.
