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A PR lecturer's experiment revealed blatant hiring bias. Students with Muslim-sounding names received no responses to job applications. When they changed their names to Christian-sounding ones on the exact same CV, they immediately started getting interviews.

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Candidates are embedding hidden text and instructions in their resumes to game automated AI hiring platforms. This 'prompt hacking' tactic, reportedly found in up to 10% of applications by one firm, represents a new front in the cat-and-mouse game between applicants and the algorithms designed to filter them.

An effective job description acts as a sales pitch that disqualifies the wrong candidates. Using provocative and ambiguous phrases like "ideological minority at a top 10 school" serves as an inherent confidence test, deeply resonating with the right people while filtering out others.

A former job developer reveals that meatpacking recruiters would explicitly request workers of specific nationalities, such as Burmese refugees. This was based on a belief that they were more docile and harder working than others, creating a discriminatory hiring pipeline that treats people as commodities.

The belief that simply 'hiring the best person' ensures fairness is flawed because human bias is unavoidable. A true merit-based system requires actively engineering bias out of processes through structured interviews, clear job descriptions, and intentionally sourcing from diverse talent pools.

Policies preventing employers from asking about criminal records early in the hiring process backfired. Unable to see an applicant's record, some employers resorted to guessing based on demographics, leading to increased discrimination against young Black men who had no criminal record. This highlights the need to 'fail fast' and test policies before wide implementation.

Modern hiring, reliant on AI and applicant tracking systems (ATS), filters candidates based on keywords and specific experience profiles. This process often automatically rejects highly capable mid-career professionals from non-traditional backgrounds before a human even sees their resume, creating a systemic barrier.

A PR veteran argues for blind recruitment—removing names, photos, and even specific experience from applications. He believes the best communicators often come from unconventional backgrounds like dance or comedy, and this method would increase true diversity of thought and talent.

A meta-analysis of 80 studies found only a 0.06 correlation between a CV and job performance, making it as effective as random selection. Companies cling to this broken process not because it works, but due to organizational inertia and a lack of bravery to innovate hiring.

A study using identical resumes with male and female names found the woman was rated either as less competent or, if her competence was undeniable, as less likable. This shows a pervasive bias against female leaders, held by both men and women.

Minor details on a resume or profile can be powerful negative predictors. Chapter CEO Cobi Blumenfeld-Gantz flags candidates applying for tech roles with a yahoo.com email address, those who use the phrase "passionate about," or who have more than three sentences in their LinkedIn 'About' section.