INNOVAREModule 9 · AI in Human Resources & Organisational Processes

Case 6: It's People, Not the AI

The required reading audited, the Australian rules the course skips, and the accountability spine that ties the whole module together.

August 2026 · Case 6 of 6
As you read — hold this question

If every automated HR decision still traces back to a human choice, why do we keep saying “the algorithm did it”?

1 reviewer
The module's required reading is a systematic review — useful, but conducted by a single researcher, screening 4,200 records down to 19 studies. Strong signal, honest limits.

Every module closes on the evidence and the other side. Here that means auditing Murire (2024), adding the Australian legal context the deck omits, and stating the spine plainly: AI in HR is a chain of human decisions wearing a machine's face.

The required reading
The textbook versionQuiz: Murire + Schein's 3 levels

Murire (2024), audited

Murire (2024), Administrative Sciences (MDPI) 14:316 — a PRISMA systematic review of how AI reshapes organisational work practices and culture, framed by Schein's three levels of culture (artifacts → espoused values → underlying assumptions). Reported opportunities: efficiency, data-driven decisions, personalised experience, new business models. Reported challenges: cultural alignment, employee resistance, ethical concerns, leadership communication — with transparent leadership and skills investment as the pivotal success strategies.

The audit
It is secondary evidence (a review of reviews), 2017–2024, and — by the author's own statement — conducted by a single researcher, which raises selection-bias risk. Cite it for framing and themes, not as proof any specific intervention returns value.
The context the deck skips
The rest of the story

The Australian rules

The set materials are largely US/vendor. Australia is tightening: from 10 December 2026, Privacy Act reforms require organisations to disclose automated decisions that significantly affect people — directly relevant to AI hiring and performance systems. Age discrimination in recruitment is unlawful under the Age Discrimination Act 2004, and the Australian Human Rights Commission has flagged algorithmic hiring bias as a live risk.

Why it matters here
A model that screens out older applicants (as in iTutorGroup) is not just an ethics problem — in Australia it is heading toward a disclosure-and-liability problem. Governance is becoming law.
The spine
The other side

The applicant's side, and the accountability line

The whole module braids into one claim: it's people, not the AI. A human bought the tool, chose the data, set the threshold, and decided whether anyone could appeal. The asymmetry is the injustice — the system sees everything about the applicant; the applicant sees nothing about the system.

The fix is not a better model. It is a named human who is accountable, a candidate who is told a machine was used and can contest it, and a bias audit before deployment — the same governance-first move the back half of the module points to.

The other side

Close every HR-AI argument the same way: name the person accountable. “The algorithm decided” is not an answer — it is the problem.

Quick recall — without looking back

Test yourself on this case

Question 1 of 3

What kind of study is Murire (2024), and what is its main methodological limit?

A PRISMA systematic literature review (secondary evidence) framed by Schein's three levels of culture. Main limit: conducted by a single researcher (selection-bias risk); it is a review, not primary data.
Question 2 of 3

What changes in Australian law from 10 December 2026, and why does it matter for HR AI?

Privacy Act reforms require disclosure of significant automated decisions — directly relevant to AI hiring/performance tools, turning governance into a legal obligation.
Question 3 of 3

State the module's accountability spine in one line.

It's people, not the AI — a human chose the tool, data and threshold, so “the algorithm decided” never removes human accountability.

Module 9 Videos

Module 9 · Short · The Algorithmic Boss
Module 9 · Long Form · The Algorithmic Boss (Short-Doc)

Sources

Required reading
Murire, O.T., “Artificial Intelligence and Its Role in Shaping Organizational Work Practices and Culture,” Administrative Sciences 14:316 (MDPI, 2024).
Australian context
Privacy and Other Legislation Amendment Act 2024 (automated-decision disclosure, from 10 Dec 2026); Age Discrimination Act 2004; Australian Human Rights Commission guidance.
Fortification
Innovare Study analysis: Module 9 — real cases, the Australian context, and the “it's people, not the AI” thematic spine (2026).