From ai-selection-legal-ethical
Use when an AI/ML selection tool uses data the candidate does not control or did not knowingly provide — scraped social-media/Internet data, or incidental data like facial micro-expressions, voice, and appearance — Concern 8 of Tippins, Oswald & McPhail (2021). Covers the loss of applicant control, job-irrelevance and "is it fair," reputation-scrubbing services and adverse impact, the absence of a clear legal/ethical rule, informed consent (Illinois AIVI Act), and the range of policy approaches. Triggers: "scraped social media hiring", "data outside applicant control", "facial appearance in hiring", "is it fair to use this data", "informed consent for AI hiring data", "online reputation scrubbing".
How this skill is triggered — by the user, by Claude, or both
Slash command
/ai-selection-legal-ethical:ai-candidate-data-controlThe summary Claude sees in its skill listing — used to decide when to auto-load this skill
Traditionally, applicants control to a large degree **what they present** to an employer — effort on
Traditionally, applicants control to a large degree what they present to an employer — effort on ability tests, answers on personality/SJT measures, demeanor in interviews, resume and application content. Using information outside those sources is not new ("word of mouth," references, background and credit checks). What's new with AI is the scale and the loss of applicant control.
Irrelevant variables may well predict performance; the essential question is "Is it fair?" There is no law or guideline requiring an employer to use only data presented by the candidate (except in the realm of privacy statutes), and no specific ethical standard requiring it either. Yet there is a moral dilemma. The article lays out a spectrum of approaches:
ai-selection-legal-landscape): require informed consent before an employer
bases a selection decision on data beyond the applicant's control.ai-selection-ethics).ai-selection-ethics (informed consent) · ai-applicant-reactions-and-communications ·
ai-selection-legal-landscape (Illinois AIVI Act, privacy)
· ai-reliability (appearance/disability) · candidate-accommodations
(disability, linguistic/cultural) · ai-claims-and-stakeholder-audit
Source: Tippins, Oswald & McPhail (2021), Concern: "Control Over the Data Presented to an Employer."
npx claudepluginhub openmatter-network/agent-io-skills --plugin ai-selection-legal-ethicalGuides creation, editing, and verification of skills for AI coding agents using test-driven development with subagent scenarios. Use when authoring or debugging skills.