AI Interview Software: Types, How It Works, Risks and Best Practice
AI now appears at almost every point of the interview process, from booking the slot to transcribing the conversation to, in some tools, scoring the answers. Each use carries a very different level of risk.
Short answer
AI interview software uses artificial intelligence to support job interviews, including scheduling, delivering one-way (asynchronous) video or text interviews, transcribing and summarising live interviews, generating structured questions and, in some tools, scoring candidate answers. Scoring answers is high-risk: it must be validated for job relevance, tested for bias and accessibility, disclosed to candidates and kept under human decision-making. Analysing facial expressions or emotions should be avoided and is prohibited in EU workplaces.
Key takeaways
- Interview AI ranges from low-risk logistics to high-risk automated scoring.
- Scoring should be based on the content of answers against structured criteria, not on appearance, voice or expressions.
- Illinois requires notice, explanation and consent before AI analyses video interviews; the EU prohibits workplace emotion recognition.
- Interview intelligence tools that transcribe and summarise help interviewers but need consent and data controls.
Guides in this topic
- How Are AI Video Interviews Scored? Methods, Validity and Limits
The scoring pipeline for AI interviews, legitimate versus problematic signals, and validation.
- Tips to Pass an AI Interview: A Practical Guide for Candidates
How candidates can prepare for AI interviews, structure answers and know their rights.
- AI Interviews for Campus and Graduate Hiring: A Practical Playbook
Designing AI-supported graduate hiring that assesses potential fairly and at scale.
- Is AI Interview Assessment Fair? Evidence, Risks and Safeguards
Where AI interviews can be fairer, where they are not, and the safeguards that make the difference.
Types of AI interview software
| Type | What it does | Risk |
|---|---|---|
| Scheduling assistants | Coordinate interview times across candidates and panels | Low |
| Question and kit generators | Create structured, competency-based questions and scoring guides | Low |
| Interview intelligence | Record, transcribe and summarise live interviews; prompt interviewers | Medium |
| One-way video or text interviews | Candidates record answers to set questions at their convenience | Medium |
| Conversational interviews | AI conducts a chat or voice interview, asking follow-up questions | Medium to high |
| Automated answer scoring | Evaluates answers against criteria and produces scores or rankings | High |
| Facial, voice or emotion analysis | Infers traits or emotions from expressions or tone | Unacceptable in most contexts; prohibited for emotions in EU workplaces |
How AI interview scoring works
Most current scoring tools transcribe spoken answers, then evaluate the text against competency frameworks or model answers, using natural language processing or large language models. Some older approaches also analysed facial movements, word choice patterns or voice characteristics. See how AI interviews are scored.
Benefits
- Faster scheduling and scale for high volume and campus hiring.
- More structured interviews, which research shows are fairer and more predictive.
- Flexibility for candidates in different time zones or with shift work.
- Better note-taking, so interviewers can focus on the candidate.
Risks
- Bias and uneven accuracy in transcription or scoring across accents, dialects and disabilities.
- Unscientific inferences from facial expressions or voice.
- Candidate experience: one-way interviews can feel impersonal, and some strong candidates decline them.
- Accessibility: timed recordings disadvantage some disabled candidates without adjustments.
- Privacy: video and voice are sensitive personal data.
See is AI interview assessment fair?
The legal context
Illinois's Artificial Intelligence Video Interview Act requires employers using AI to analyse video interviews to notify applicants, explain how the AI works and what characteristics it evaluates, obtain consent, limit sharing of videos and delete them on request. The EU AI Act classifies AI used to evaluate candidates as high-risk and prohibits AI that infers emotions in the workplace except for medical or safety reasons. New York City's bias audit and notice rules apply if a tool substantially assists hiring decisions. Recording and transcribing interviews also engages data protection and, in some places, consent-to-record laws.
This is general information, not legal advice. Rules on AI interviews differ by jurisdiction; check requirements wherever you hire.
Best practice
- Use AI to support structured interviews, not to replace interviewer judgement.
- Score content against job-related criteria only; never appearance, expressions or voice qualities.
- Validate scoring against expert human ratings and test for adverse impact.
- Disclose AI use clearly, obtain consent where required and explain how to request alternatives.
- Offer adjustments: extra time, text alternatives, live interviews.
- Limit retention of recordings and control access.
- Keep hiring decisions with trained people.
Related guides
- How Are AI Video Interviews Scored? Methods, Validity and Limits
The scoring pipeline for AI interviews, legitimate versus problematic signals, and validation.
- Is AI Interview Assessment Fair? Evidence, Risks and Safeguards
Where AI interviews can be fairer, where they are not, and the safeguards that make the difference.
- AI Hiring Bias: Causes, Real Cases, Law and How to Prevent It
Where AI hiring bias comes from, how it is measured, the law, and a prevention framework.
- AI in Recruitment: How It Works, Benefits, Risks and Best Practice
How AI works across the hiring funnel, its benefits and risks, the law, and best practice.
Frequently asked questions
What is AI interview software?
AI interview software uses artificial intelligence to schedule interviews, deliver one-way video or conversational interviews, transcribe and summarise live interviews, generate structured questions and, in some tools, score candidate answers.
Is AI video interview analysis legal?
Generally yes with conditions. Illinois requires notice, explanation and consent; the EU AI Act treats candidate evaluation as high-risk and prohibits workplace emotion recognition; and anti-discrimination and privacy laws apply everywhere.
Do AI interviews analyse facial expressions?
Some older tools did, but the practice has been widely criticised as unscientific and potentially discriminatory, and at least one major provider stopped using it. Emotion recognition in EU workplaces is prohibited.
Should AI make interview decisions?
No. AI can structure interviews, take notes and help evaluate answers against criteria, but trained people should make and be accountable for hiring decisions.