myInterview

Company overview

myInterview is an async one-way video interview and AI screening platform founded in 2014, with roots in Tel Aviv and operating offices in Sydney, Australia and London, UK. Candidates record video answers to structured questions on their own schedule, and the platform's machine-learning 'Smart Shortlisting' and personality-insights features (based on a Big Five model) score and rank applicants for recruiters, with ATS, Workable and Microsoft Teams integrations. In September 2025 myInterview was acquired by Radancy and folded into the Radancy Talent Acquisition Cloud as its candidate/recruiter AI-agent, screening and scheduling layer; the myinterview.com marketing, product and blog pages now redirect to radancy.com.

Regulatory exposure

As an AI tool that scores and shortlists job candidates from video and transcribed speech, myInterview falls squarely within the scope of NYC Local Law 144 (AEDT), the EU AI Act's high-risk Annex III employment category, and emerging US state laws (Illinois AIVIA, Colorado AI Act). Despite this exposure, no public, source-linked NYC LL 144 bias audit by a named independent auditor could be located, no Fundamental Rights Impact Assessment template or EU AI Act deployer guidance is published, and no model card / Article 11-style technical documentation or ISO 42001 certification is available. Post-acquisition, the only live governance material is Radancy's principles-level Responsible AI page and a security page citing SOC 2 Type 2, HITRUST and NIST 800-171 — none of which addresses algorithmic bias auditing or per-jurisdiction AEDT compliance.

Path to a higher score

The clearest path to a higher score is to publish, on a stable and clearly linked page, an independent NYC LL 144 bias audit (auditor, date, intersectional disparate-impact tables) and to repeat it annually; add an AI/model card describing the Smart Shortlisting model, the Big Five basis, the data used and explicitly excluded (e.g., face, image and background), and an explainability statement; and produce EU AI Act deployer materials — a FRIA template and instructions-for-use — plus a publicly downloadable DPA and a documented post-market monitoring / incident channel. Surfacing the historical methodology and bias-mitigation claims as durable, versioned documentation (rather than redirected marketing copy) would materially raise the technical-documentation, bias-audit and customer-documentation scores.