Use AI to Detect Gender‑Neutral Language and Improve Inclusivity
In today's global workplace, inclusive language isn’t just a nice‑to‑have—it’s a business imperative. Companies that consistently use gender‑neutral wording see higher employee engagement, better brand perception, and a broader talent pool. Fortunately, artificial intelligence (AI) now makes it possible to automatically detect gender‑biased phrasing and suggest neutral alternatives. In this guide we’ll explore how to use AI to detect gender‑neutral language and improve inclusivity across resumes, cover letters, job postings, and everyday communication.
Why Inclusive Language Matters
- Talent attraction: A 2023 study by McKinsey found that 67% of job seekers consider a company's language when evaluating cultural fit. Source
- Employee retention: The Harvard Business Review reports that inclusive language reduces turnover by up to 12%.
- Brand equity: Brands that champion inclusive language enjoy a 15% lift in Net Promoter Score (NPS).
These numbers illustrate that detecting gender‑neutral language with AI directly contributes to a healthier, more competitive organization.
How AI Detects Gender‑Neutral Language
AI models trained on large corpora can recognize patterns that humans often miss. The process typically involves:
- Tokenization – Breaking text into words and phrases.
- Part‑of‑speech tagging – Identifying nouns, verbs, adjectives, etc.
- Bias scoring – Assigning a probability that a term is gender‑biased based on historical usage.
- Suggestion engine – Offering neutral alternatives (e.g., "salesperson" instead of "salesman").
Resumly’s Buzzword Detector and ATS Resume Checker already embed these techniques to help job seekers craft unbiased resumes. The same technology can be repurposed for any content.
Step‑by‑Step Guide: Using AI to Audit Your Text
Below is a practical workflow you can follow today, using free AI tools and Resumly’s suite.
1️⃣ Choose an AI Analyzer
- Option A: Resumly’s Buzzword Detector (free, web‑based).
- Option B: Open‑source libraries like spaCy with the
gender‑biasextension. - Option C: Commercial APIs such as OpenAI’s GPT‑4 with a custom prompt.
2️⃣ Upload or Paste Your Content
- For resumes, use the AI Resume Builder.
- For cover letters, try the AI Cover Letter tool.
3️⃣ Run the Bias Scan
- Click Analyze and wait 5‑10 seconds.
- The AI will highlight flagged terms in red and list suggested replacements.
4️⃣ Review Recommendations
- Do: Accept neutral terms that preserve meaning.
- Don’t: Replace every flagged word blindly; context matters.
5️⃣ Re‑run the Check
- After editing, run the scan again to ensure no new issues appear.
6️⃣ Export and Share
- Download the revised document or copy it directly into your applicant tracking system (ATS).
Checklist – AI Bias Scan
- Upload original text
- Run AI analyzer
- Review each suggestion
- Apply context‑appropriate changes
- Re‑scan for residual bias
- Save final version
Common Gender‑Biased Terms & Neutral Alternatives
| Biased Term | Neutral Alternative | Example Rewrite |
|---|---|---|
| Chairman | Chairperson / Chair | "The chairperson will review the proposal." |
| Manpower | Workforce / Staff | "We need to expand our workforce by 20%." |
| Salesman | Salesperson | "Our top salesperson achieved record sales." |
| He/She | They / Their | "Each applicant should submit their portfolio." |
| Guys | Team / Everyone | "Good morning, team!" |
| Motherly | Nurturing | "She has a nurturing leadership style." |
Mini‑conclusion: By systematically swapping these terms, you use AI to detect gender‑neutral language and improve inclusivity in any document.
Real‑World Scenarios
Scenario 1: Job Posting for a Software Engineer
Original: "We are looking for a hands‑on developer who can talk to his teammates and lead the engineering team."
AI‑Suggested Rewrite: "We are looking for a hands‑on developer who can collaborate with teammates and lead the engineering team."
Impact: Removes the male‑specific pronoun, making the posting welcoming to all genders.
Scenario 2: Resume Bullet Point
Original: "Managed a team of salesmen and increased revenue by 30%."
AI‑Suggested Rewrite: "Managed a team of salespeople and increased revenue by 30%."
Impact: Demonstrates inclusive language while preserving the achievement.
Integrating AI‑Driven Inclusivity Into Your Hiring Workflow
- Create a standard template for job ads that includes a pre‑flight AI bias check.
- Automate the scan using Resumly’s Job‑Match feature, which can flag biased language before posting.
- Train recruiters on the do/don’t list below.
Do: Use AI tools early in the drafting process. Don’t: Rely solely on AI; always apply human judgment.
Do/Don’t List for Inclusive Writing
Do
- Use they/their as a singular pronoun when gender is unknown.
- Choose role‑neutral titles (e.g., project lead).
- Keep language action‑oriented rather than gender‑coded.
Don’t
- Assume gender based on names or photos.
- Use gendered idioms like "man up" or "girls' night" in professional contexts.
- Over‑correct and produce awkward phrasing.
Frequently Asked Questions (FAQs)
Q1: How accurate are AI tools at detecting gender bias? A: Modern models achieve 85‑90% precision on benchmark datasets, but human review remains essential for nuance.
Q2: Can AI detect bias in non‑English languages? A: Yes, multilingual models exist, though coverage varies. Resumly currently supports English, Spanish, and French.
Q3: Will using AI to edit my resume affect ATS compatibility? A: No. In fact, Resumly’s ATS Resume Checker ensures that neutral language also meets ATS parsing rules.
Q4: How often should I run a bias scan on my content? A: Run it before publishing and after major revisions. For ongoing blogs, a quarterly audit works well.
Q5: Are there free tools for quick checks? A: Resumly offers a free Buzzword Detector that flags gendered terms in seconds.
Q6: Does inclusive language improve interview outcomes? A: Companies that use gender‑neutral language report a 12% higher interview‑to‑offer conversion rate.
Q7: How can I train my team to write inclusively? A: Provide a short workshop, share the checklist above, and embed AI checks into your content‑creation workflow.
Measuring the Impact of Inclusive Language
| Metric | Before AI Implementation | After AI Implementation | % Change |
|---|---|---|---|
| Candidate Diversity (Women & Non‑binary) | 22% | 31% | +41% |
| Employee Engagement Score | 73 | 81 | +11% |
| Time‑to‑Hire | 42 days | 38 days | -9% |
These figures, compiled from Resumly’s Career Guide case studies, illustrate tangible ROI.
Quick Reference: Inclusive Writing Checklist
- Replace gendered nouns (e.g., salesman → salesperson).
- Use they/their for singular, unknown gender.
- Avoid gendered idioms.
- Run AI bias scanner.
- Review suggestions in context.
- Re‑run scanner after edits.
- Export final version.
Integrating Resumly’s AI Suite for a Seamless Experience
- AI Resume Builder: Craft bias‑free resumes that pass ATS filters. Explore
- AI Cover Letter: Generate inclusive cover letters in seconds. Explore
- Interview Practice: Simulate inclusive interview scenarios. Explore
- Job‑Search Keywords: Find gender‑neutral keywords that boost visibility. Explore
By embedding these tools into your workflow, you not only use AI to detect gender‑neutral language and improve inclusivity, you also streamline the entire job‑search process.
Conclusion
Inclusive language is no longer optional—it’s a strategic advantage. Leveraging AI to automatically detect gender‑biased phrasing empowers individuals and organizations to communicate more fairly, attract diverse talent, and foster a culture of belonging. Follow the step‑by‑step guide, apply the checklists, and let Resumly’s AI‑powered suite handle the heavy lifting. Start today, and watch your content become more welcoming, your hiring metrics improve, and your brand reputation soar.
Ready to make your writing inclusive? Try Resumly’s free Buzzword Detector now and see how easy it is to use AI to detect gender‑neutral language and improve inclusivity across all your professional documents.










