MGMT 8825M · Week 6

MGMT 8825M Week 6 harms assessment example

Ethics of Artificial Intelligence and Autonomous Systems Walden University Free custom sample in 24 to 48h

Systems that malfunction draw inquiries; systems that work exactly as designed rarely do. The harms assessment for the sixth week of MGMT 8825M examines one of the second kind, an automated shift-scheduling tool that matches staffing to forecast demand, and asks who absorbs the volatility it removes from the payroll, and whether they ever agreed to.

What this page holds

Harm from correct operation is the subject: this assessment maps who bears the costs of a scheduling system doing precisely what its owners intended, then tests that distribution. Searches like "mgmt 8825m week 6 assignment example", "mgmt8825m week 6 sample" and "mgmt 8825m week 6 example" land here.

What a finished MGMT 8825M Week 6 harms assessment looks like

The harms table dominates five to seven pages. Its rows are affected groups, hourly staff given short notice of shifts, workers with caregiving duties, managers who must enforce the schedule, customers served by thinner crews, and its columns record the harm, its likely size, whether the group consented, and whether it can exit. Evidence comes from sociological research on schedule instability among hourly workers and from the tool's own design documentation. Rawls (1971) supplies the normative test, the difference principle, under which inequalities are acceptable only if they work to the benefit of the least advantaged. A utilitarian rival holds that labor savings passed on to customers outweigh the costs. The assessment argues which view governs this deployment and states what the firm would give up to meet it.

How a MGMT 8825M Week 6 example is structured

An opening paragraph describes the system's objective in its owners' terms, since the assessment concerns what happens when that objective is met. A design section explains how the tool turns forecasts into shifts and which constraints it respects or ignores, such as minimum notice. The harms table follows. An evidence section sources each row, separating documented findings from reasonable inference. The distribution section asks who gained from the system and who paid, and whether the groups overlap. The normative section applies the difference principle and the utilitarian rival to that distribution, then takes a side. The assessment closes by specifying the design change its position requires, such as a notice floor or a cap on schedule changes, and estimating what that change would cost the firm each year.

The objective in its owners' terms

Match labor hours to forecast demand, minimize idle time. The assessment states the goal as its sponsors would, then asks what meeting it does to everyone else.

Who is in the table

Staff, caregivers among them, shift managers, customers. Each row names a group, a kind of harm, its rough size, and whether the group agreed to bear it.

Documented versus inferred

Findings from schedule-instability research sit apart from harms the assessment infers, so the two can be judged by different standards of proof.

Gains and costs, side by side

Labor savings accrue to the firm and perhaps its customers; volatility lands on hourly staff. Showing that the two groups barely overlap is the analytic core of the assessment.

A design change and its bill

A notice floor, a cap on late changes, or guaranteed minimum hours, each costed. A position that asks the firm to pay nothing has not been tested.

Where marks go in MGMT 8825M Week 6

Assessments are graded on whether they treat correct operation as a source of harm with the same rigor as malfunction. A paper hunting for bugs, or recommending the vendor fix errors, misses the week's premise. The harms table is checked for specificity: named groups, a stated kind of harm, and some indication of size and consent. Evidence is weighted by type, and markers separate documented findings from plausible concern. Much of the doctoral credit rests on the distribution section, because showing that gains and costs fall on different groups is the analytic core. The normative argument earns credit when the difference principle is applied to this distribution rather than summarized. The recommended design change is judged by whether it follows from the stated position.

Get a MGMT 8825M Week 6 example written to your instructions

Start with the Week 6 assessment prompt and rubric, adding a description of the scheduling or other system under assessment. A harms assessment follows within 24-48h, and a first sample is free. Because scheduling records seldom leave the employer, a described composite tool stands in for yours; tell the desk how yours behaves and the table follows it.

MGMT 8825M Week 6 questions, answered

What if the system produces no measurable harm?

Then the assessment reports that, with the evidence, and the finding is legitimate. More often the harm exists but is diffuse, spread across many people in small amounts, which is exactly why nobody counts it. The assessment's task is to show whether such diffuse costs add up to something that matters under the chosen principle, and to say plainly when they do not.

Is the difference principle the only acceptable frame?

No. Capability approaches, sufficientarian views and stakeholder theory each give a defensible test for a harms distribution. The assessment chooses one, states why it suits this case, and tests it against one competing view. Rawls is common because the least advantaged are usually easy to identify in scheduling cases, but a well-argued alternative scores as well.

Does the assessment need data from a real deployment?

Published research and design documentation often suffice, since the question concerns how a system's objective distributes costs. Where a section supplies case data, the harms table should use it. Where it does not, the assessment can rely on research findings about similar systems, stated with their limits. Inventing figures for the deployment itself would undermine the analysis, and constructed examples should be labeled as such.