MGMT 8825M Week 4 Accountability Memo Example

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

This MGMT 8825M Week 4 accountability memo example traces the March 2018 crash in Tempe, Arizona, in which an automated test vehicle struck and killed a pedestrian, through the federal investigation record in five numbered links. They run from factory emergency braking disabled under computer control, through a one-second action suppression and the move from two operators to one, to weak oversight of operator attention and the final seconds. Written for a safety committee, it concludes in two sentences that the operator was the last person able to stop the crash but the developer bears more responsibility. Elish's moral crumple zone and Thompson's problem of many hands frame the argument in Walden MGMT 8825M, Ethics of Artificial Intelligence and Autonomous Systems, a PhD in Management course, and the memo applies the lesson to its own test program.

CourseMGMT 8825M Ethics of Artificial Intelligence and Autonomous Systems
WeekWeek 4
Paper typeAccountability memo
LengthAbout 850 words, 5 pages
FormatMemo, APA 7 citations
SchoolWalden University
ProgramPhD in Management
UpdatedOctober 2026

Free sample paper for MGMT 8825M Week 4

1

Memorandum

To: Board Safety Committee, a firm developing automated driving systems

From: Ethics and Governance Analyst

Date: September 14, 2026

Re: Where responsibility lay in the Tempe crash, and what it means for our test program

 

Conclusion

The safety operator was the last person able to prevent the March 2018 crash in Tempe, Arizona, but the developer that designed and ran the test program bears the larger share of responsibility for it. Our own program should be judged by the developer's failures in that case, not by the operator's.

What this page is doingThe two-sentence conclusion comes first, so the committee knows the answer before reading the chain that supports it.
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The Record Used

This memo relies on the federal highway accident report on the crash (National Transportation Safety Board, 2019), in which a Volvo XC90 operated by Uber's Advanced Technologies Group under its developmental automated driving system struck and killed a pedestrian walking a bicycle across a road at night. The NTSB report is the most complete public record of the decisions that preceded the crash. Names of the individuals involved are omitted here.

The Chain, Step by Step

1. Design: when the automated system was in control, the vehicle's factory-installed collision avoidance features, including automatic emergency braking, were disabled to prevent conflicts with the developmental system. The developmental system itself was designed so that emergency braking maneuvers were not enabled while the computer drove; the operator was expected to intervene.

2. Perception and action suppression: the system first detected the pedestrian about 5.6 seconds before impact but repeatedly changed how it classified her and did not predict her path as crossing the vehicle's lane. When it determined that a crash was imminent, about 1.2 seconds before impact, a built-in action suppression of one second delayed any response, leaving the operator to act.

3. Staffing: the developer had moved in late 2017 from two operators per vehicle to one, removing the second person who had monitored the system and logged events.

4. Oversight: the developer did not adequately monitor whether its operators were watching the road, despite knowing that people supervising automation tend to lose attention over long periods.

5. The final seconds: the single operator was looking down, according to the NTSB, at a personal cell phone that was streaming video, and looked up too late to prevent the crash.

The NTSB found that the probable cause was the operator's failure to monitor the road because of distraction by her phone. It found that the developer's inadequate safety risk assessment procedures, ineffective oversight of operators and lack of mechanisms to address automation complacency contributed to the crash, along with the pedestrian's crossing outside a crosswalk while impaired and inadequate state oversight of testing.

What this page is doingEach link is numbered and drawn from the investigation record, so the committee can contest any one without losing the rest.
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The Moral Crumple Zone

Elish (2019) introduced the term moral crumple zone for the way responsibility collapses onto the human nearest an automated system's failure, much as a car's crumple zone absorbs the force of a crash, while the system and its designers are protected. The Tempe case fits her description closely. The operator was the only person criminally charged; prosecutors declined to charge the developer. Public attention centered on the phone. Yet steps 1 through 4 were decisions made by the company, and each one made the operator's lapse more likely to be fatal: a vehicle that could not brake on its own, a system built to hand emergencies to a person, a second person removed and no monitoring of the one who remained.

The Problem of Many Hands

Thompson (1980) described the problem of many hands: when many people contribute to an outcome in a large organization, it becomes difficult to identify any one of them as responsible, and officials can each disclaim responsibility. The rival difficulty here is real. No single engineer decided to build a system that would kill a pedestrian; braking was disabled by one team, staffing set by another and operator oversight left to a third. If responsibility is spread across all of them, it may seem to rest on none.

Resolving the Two

The two concepts point to the same answer once the organization is treated as the agent. Thompson's own remedy was to hold officials responsible for the structures and policies they create, not only for direct acts. The developer, as an organization, chose a design that relied on one human to catch every failure, then removed the conditions that would help that human do so. The operator was the last person who could have stopped the outcome. The developer was the party that made the outcome depend on her.

What this page is doingThe memo shows how the two frames can both be right, then says which party the analysis holds most responsible.
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What This Means for Our Program

Our test program uses two operators per vehicle and keeps factory braking active. Both choices should be set down in policy, beyond the reach of a later cost review. We should also add camera-based monitoring of operator attention, reviewed weekly, and require any change in staffing or in the handoff of emergency responses to pass the safety committee. If our own program ever relies on a single person to catch everything the system misses, the Tempe record tells us where responsibility will truly lie, whatever a charging decision says.

References

Elish, M. C. (2019). Moral crumple zones: Cautionary tales in human-robot interaction. Engaging Science, Technology, and Society, 5, 40-60. https://doi.org/10.17351/ests2019.260

National Transportation Safety Board. (2019). Collision between vehicle controlled by developmental automated driving system and pedestrian, Tempe, Arizona, March 18, 2018 (Highway Accident Report NTSB/HAR-19/03). https://www.ntsb.gov/investigations/Pages/HWY18MH010.aspx

Thompson, D. F. (1980). Moral responsibility of public officials: The problem of many hands. American Political Science Review, 74(4), 905-916. https://doi.org/10.2307/1954312

MGMT 8825M Week 4 instructions, in plain terms

The fourth assignment is a memo on responsibility for a failure involving an automated system. Use a header block and open with a two-sentence conclusion. Draw the chain of decisions leading to the failure as a numbered sequence, using an official investigation or other authoritative public record, and cite it. Apply Elish's concept of the moral crumple zone to show how responsibility tends to fall on the human nearest the system. Then present Thompson's problem of many hands as the rival difficulty. Show how the two can be reconciled and conclude whether the last person able to stop the outcome is the party most responsible. If not, say who is. Close by turning the findings into commitments for an organization you know.

Inside the MGMT 8825M Week 4 example

The Tempe memo opens with its two-sentence conclusion and a note that it relies on the NTSB report and omits individuals' names. Five numbered links follow, each drawn from the record: disabled factory braking and no automated emergency braking, the 5.6-second detection and one-second suppression, the late-2017 staffing change, weak attention monitoring, and the phone. The NTSB's probable cause and contributing factors are summarized fairly. Elish's crumple zone section notes who was charged and who was not. Thompson's section gives the many-hands problem its weight, and the resolution uses his own remedy of holding officials responsible for structures they create. A closing section turns the findings into three policy commitments.

MGMT 8825M Week 4 rubric: what earns full marks

The numbered chain carries the most weight: graders check that each link comes from the record, is stated accurately and is sourced. The two-sentence conclusion should answer the question directly. Elish's concept earns credit when applied to specific features of the case, such as who was charged and which design choices made the human's lapse fatal. Thompson's problem must be presented as a genuine difficulty, not a straw position. Strong memos reconcile the two concepts rather than simply choosing one. The final judgment should name the most responsible party with reasons. Memos that rely on news summaries instead of the investigation, misstate technical facts or end without applying the lesson to an organization score lower.

MGMT 8825M Week 4 help: mistakes that cost marks

Read the investigation report itself, or at least its findings and probable cause section; secondary accounts often simplify the technical sequence. List every decision that made the outcome more likely and note who made it and when. Keep the chain to five or six links so each can be checked. When applying the moral crumple zone, look at where public attention and legal consequences landed. Present the many-hands problem honestly, since it explains why organizations escape blame. Leave out the names of individuals who were harmed or charged. Finish with commitments your organization could actually adopt. If you need help reading a technical report, the tutoring desk can walk through it with you, and the Tempe memo above lays out the full chain.

Get a MGMT 8825M Week 4 example written to your instructions

Forward the accountability memo prompt, its rubric, and whichever incident the instructor named. A traced memo lands within 24-48h, the first at no cost. Cases with a published investigation record suit the memo best, and if your prompt points to one, include the report's title so every link can be sourced to it.

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MGMT 8825M Week 4 questions, answered

Where can I find a free MGMT 8825M Week 4 sample paper?

The complete Tempe accountability memo appears on this page, from its two-sentence conclusion to the policy commitments.

What does the MGMT 8825M Week 4 sample conclude?

That the operator was the last person able to stop the crash, but the developer bears the larger responsibility.

What is a moral crumple zone?

Elish's term for how responsibility collapses onto the human nearest an automated system's failure.

What did the NTSB find as contributing factors?

The developer's inadequate safety risk assessment, ineffective operator oversight and no measures against automation complacency.

What does the memo ask its own program to adopt?

Two operators per vehicle, active factory braking and camera-based monitoring of operator attention.