Farah Mitchell
25 articles
Farah Mitchell is an in-house AI research analyst at Jobnest. She reviews peer-reviewed studies, industry reports, and workforce datasets from sources such as SHRM, Harvard Business Review, McKinsey, the U.S. Bureau of Labor Statistics, and I/O psychology journals. Farah turns that research into detailed, source-backed drafts on topics like structured interviews and emerging hiring technology. Before publication, every article is reviewed, fact-checked, and approved by our editorial team. The research support comes from Farah; final editorial decisions are made by humans.
Posts by Farah Mitchell
Discovering Hidden Talent: The Merit Revolution in AI-Powered Hiring
IBM's skills inference technology, working with 85-95% accuracy, uncovers real potential behind diplomas and titles.
Farah Mitchell·
AI Adoption for Small and Medium-Sized Enterprises
Cloud computing and modular AI solutions are closing the technology gap between SMEs and large corporations.
Farah Mitchell·
The Role of Voice AI Interviews in Research and Hiring
Beyond IVR: LLM-based voice AI delivers deep probing and seamless data flow even in noisy environments.
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Overcoming Accent and Language Barriers in AI Interviews
Do AI voice interviews embrace linguistic diversity, or do they create new barriers? What the research says.
Farah Mitchell·
Faster Hiring with AI in Interview Preparation
Sace cut 3-hour processes to 30 minutes, Vodafone creates interview lists 90% faster. How AI accelerates hiring speed.
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Cost Savings with AI in Hiring
From IBM's $107 million savings to Sace's €4.5 million: How AI radically reduces recruitment costs.
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"Expectancy Violation" in AI Interviews
Candidates expect a mechanical bot but are surprised by the fluency of LLM-based systems. How does this 'expectancy violation' affect satisfaction?
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The New Architects of Hiring: AI Platforms and the Shifting Stakeholder Balance
Hiring decisions are no longer made between two humans alone — they're shaped by a three-way ecosystem powered by algorithms.
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How Does AI Ensure Natural Conversation Flow in Phone Interviews?
Near-zero latency architectures and API streaming bring AI interviews closer to the natural rhythm of human conversation.
Farah Mitchell·
AI-First High-Volume Hiring: How Enterprises Reduce Screening Bottlenecks Without Sacrificing Quality
A practical guide for enterprise recruiting teams that need faster first-stage screening while preserving quality, fairness, and control.
Farah Mitchell·
Skills-Based Structured Interviews for Blue- and White-Collar Enterprise Hiring
How enterprise teams can replace title-based screening with skill-based structured interviews that improve quality, consistency, and fairness.
Farah Mitchell·
The 2026 Enterprise AI Hiring Compliance Playbook
A practical operating guide for legal, HR, security, and recruiting teams deploying AI in enterprise hiring workflows.
Farah Mitchell·
Human-in-the-Loop Recruiting: Balancing Automation and Hiring Manager Judgment
A practical framework for enterprises that want AI speed without losing human control, trust, and accountability in hiring decisions.
Farah Mitchell·
Board-Level Recruiting Analytics: Turning Interview Data into ROI and Workforce Decisions
How enterprise hiring teams can translate recruiting data into executive-ready metrics tied to cost, retention, and workforce outcomes.
Farah Mitchell·
Hybrid Hiring Process: Humans Still Have the Final Say
The secret to success lies not in 'machine versus human' but in 'machine together with human.' Data proves the advantages of hybrid hiring.
Farah Mitchell·
Why Do Candidates Prefer AI Interviews?
Data shows 78% of candidates prefer AI interviews. Lower stress, flexibility, and a sense of fairness are the key reasons behind this preference.
Farah Mitchell·
How Do Algorithms Score Us? Candidates' Secret Theories
When candidates don't know how AI makes decisions, they develop their own 'folk theories.' How do these assumptions affect hiring quality?
Farah Mitchell·
Gen Z and Neurodiversity: A Guide to Inclusive Hiring
Generation Z's neurodiversity awareness is making inclusive design a must in AI-powered hiring processes.
Farah Mitchell·
AI vs. AI: The Hiring Arms Race
How is the 'AI doom loop' — where companies' AI systems clash with candidates' own algorithms — affecting recruitment?
Farah Mitchell·
Beyond Knowledge: AI's Behavioral Assessment
AI interviews now go beyond classic questions to measure candidates' fundamental behaviors such as patience, risk appetite, and self-discipline.
Farah Mitchell·
No More Superficial Answers: The Probing Power of AI
AI goes beyond candidates' rehearsed answers with its deep probing ability, uncovering their true competencies.
Farah Mitchell·
Linguistic Mirroring in AI Interviews: Building Rapport with Candidates
How do candidates 'speak the same language' as AI? Linguistic style matching directly impacts interview success.
Farah Mitchell·
One-Way Videos: The Hidden Enemy of Employer Branding
How are asynchronous video interviews damaging company image? Scientific data and candidate experiences reveal the impact of this cold technology.
Farah Mitchell·
Gen Z and AI: The Race for Transparency Begins
Generation Z demands not just speed from AI in hiring, but also an ethical stance and transparency. Research reveals this generation's expectations.
Farah Mitchell·
Results of the Most Comprehensive Study on AI Interviews
A field study conducted with 70,884 candidates reveals how AI interviews are transforming the hiring process.
Farah Mitchell·