Question 1

Where should an HR technology or AI assessment start?

Accepted Answer

Start with one workforce decision or employee service, the people affected, the current baseline, the accountable HR owner, the evidence required, applicable obligations, and a clear reason why technology may improve the process. Do not begin with a model, vendor shortlist, or promise to automate an entire employee lifecycle.

Question 2

Can AI make final hiring or promotion decisions?

Accepted Answer

Rusaka does not recommend making an opaque model the sole authority for a consequential employment decision. The organisation should identify applicable law and policy, establish job-related criteria, test the system and alternatives, provide appropriate notice and accommodation, assign meaningful human review, and maintain correction, appeal, escalation, monitoring, and stop paths.

Question 3

How should bias and fairness be evaluated in an HRTech pilot?

Accepted Answer

Define the decision and affected population first. Then evaluate data provenance and representation, job relevance, error types, accuracy and calibration, distributional differences where lawful and statistically meaningful, accessibility, reviewer behaviour, appeals, and downstream outcomes. A single aggregate accuracy score or vendor fairness statement is not sufficient.

Question 4

What data controls are needed for workforce analytics?

Accepted Answer

Document purpose, source, legal basis or other authority, data owner, definitions, lineage, permissions, sensitive and inferred attributes, access, sharing, retention, deletion, correction, security, quality, vendor processing, and downstream use. Collect only what is necessary for the bounded purpose and reassess when the purpose, model, population, or provider changes.

Question 5

How should accessibility and accommodation work with automated assessments?

Accepted Answer

Explain the assessment in usable language, test it with relevant assistive technologies and disability contexts, provide a simple way to request accommodation, offer an effective alternative route, prevent disability-related signals from becoming inappropriate proxies, and ensure a qualified person can review and correct the outcome.

Question 6

What should be measured after an HRTech pilot launches?

Accepted Answer

Monitor completion and abandonment, technical and accessibility failures, accuracy and distributional performance, human overrides, appeal and correction outcomes, privacy and security events, integration reliability, adoption, support cases, model or rule changes, and whether the workflow improves its defined service or decision without unacceptable harm. Keep a named owner, review cadence, thresholds, incident route, and suspension plan.

HR Technology and Responsible AI Consulting (Spanish)

HR Technology and Responsible AI Consulting (Spanish)