Skip to main content
Learning Center
Practical AI

Evaluate conclusions

Bias, framing, and omitted perspectives

Check who is represented, what is missing, and whether the wording fits the measured evidence.

Lesson 5 of 6 in the recommended order · About 25 min (estimate)

On this page
Practical AI glossary — terms and common confusions
Model
A learned component used to produce a result.

A drafting model is one part of a letter app; it is not the whole app.

Application
The software experience around components and services.

A letter app adds accounts, storage, and a Send button.

Prompt
Instructions and input supplied for a task.

“Summarize this notice in two bullets” specifies a task and shape, not a truth guarantee.

Token
A unit a model processes; it need not be a whole word.

A tokenizer can split a name into pieces; count using the actual system.

Context
Information available for the current request.

An earlier attachment may be absent even when its filename is visible.

Training
Adjusting a model using examples.

A training log differs from a conversation correction.

Inference
Using a trained model to produce a result.

Drafting another sentence does not by itself prove retraining.

Retrieval
Selecting material to supply to a task.

A retrieved notice still needs a relevance and date check.

Embedding
A numerical representation used to compare or organize items.

A similar search match is a candidate, not proof of the same meaning.

Tool
A function an application can call.

A calendar lookup can be read-only; finding an event is different from creating one.

Agent
Software that can choose and carry out steps toward a goal.

An agent still needs bounded permissions and checked action receipts.

Hallucination
Plausible generated content that is unsupported or false.

An invented opening time needs evidence or removal, even when phrased confidently.

Evaluation
Checking results against stated criteria.

Twenty checked examples establish a bounded result, not universal reliability.

Multimodal
Working with more than one kind of input or output.

A photo plus text does not prove every small label in the photo was read correctly.

Outcome

Identify unsupported representation claims and preserve relevant missing perspectives without inventing them.

Why it matters

Check who is represented, what is missing, and whether the wording fits the measured evidence.

Concept

A report can use accurate numbers yet mislead through its framing or omissions. Check who could respond, who actually responded, how questions were worded, and whose needs the decision affects. A convenient sample does not become representative simply because it is large or neatly summarized.

Correcting an omission does not mean inventing what absent people believe. State the gap and seek appropriate input if needed. Avoid replacing one stereotype with another. A balanced account follows the evidence and makes relevant limits visible; it does not require giving unsupported claims equal weight.

Worked example

Cedar received responses from 18 of 24 invitees, and 12 respondents preferred mornings. “Everyone wants mornings” erases both the six other respondents and six nonrespondents. Report the actual count and response coverage. Do not assume that all nonrespondents prefer evenings.

Cedar continuity note: these lessons use separate snapshots—room selection, booking pending, booking confirmed, and later attendance review. Survey responses are preferences, not attendance. Each supplied packet identifies the facts for its own task; do not import a later snapshot into an earlier decision.

Which preferences are known?

24 invited volunteers: 18 replies and 6 unknown nonresponsesOne square represents one invited volunteer. M: Known morning preference, 12. R: Other respondents, 6. ?: Nonrespondents: preference unknown, 6MMMMMMMMMMMMRRRRRR??????

One square represents one invited volunteer

24 invited volunteers: 18 replies and 6 unknown nonresponses
MarkGroupCount
MKnown morning preference12
ROther respondents6
?Nonrespondents: preference unknown6

What the responses say

Known morning preferences
12 of 18 respondents
Other respondents
6 of 18 respondents

The worked example does not assign a more specific preference to the other six respondents.

What the invitation count says

Invited
24 volunteers
Replied
18 volunteers
Did not reply
6 volunteers

Those six preferences are unrecorded. Nonresponse is not a vote against morning.

These are preference responses, not attendance. The six nonrespondents remain unknown; the other six respondents are not assigned a particular alternative by this worked example.

Before you check

Write a coverage note with invited, responded, and not represented fields. Rewrite one headline so it preserves the limit without burying the measured result.

Practice and fresh transfer

The packets below are fictional and contain the facts needed for these cases. External references are optional background. Judge each response independently: it may be supported, contradicted, or unresolved. Select the passages needed to justify your judgment and write why the distinction matters before revealing feedback.

Assess the response

Use Accept when all material claims are supported. Use Revise when a supplied fact or requirement is contradicted. Use Evidence is insufficient when a key fact cannot be established either way. If a response contains both an unknown and a direct contradiction, choose Revise and explain both problems. Conflicting claims with no established authority remain insufficient; a claim does not become a governing fact merely because a source asserts it.

Some responses are fully supported. Others need correction or more evidence. Judge each on its sources; do not edit a correct answer just to change it.

Your written notes stay in this page and disappear when you leave. Only a self-reviewed completion can be saved to your learning account. These practice checks do not establish independent proficiency.

Practice

Case 1

Consider the proposed response for this fictional Cedar work task. Use the supplied packet and stated requirements.

Source packet

Source 1
Survey: 24 volunteers invited; 18 replied. Of replies, 12 selected morning and 6 evening.
Source 2
Limit: No preferences are recorded for the 6 nonrespondents.

Response to assess

Twelve of 18 respondents preferred morning; six invitees did not respond, so their preferences are unknown.
Your decision
Which sources establish your decision? Select all that are needed.
Choose a supported next step

Practice

Case 2

Consider the proposed response for this fictional Cedar work task. Use the supplied packet and stated requirements.

Source packet

Source 1
Survey scope: Only attendees of the Tuesday online session were asked.
Source 2
Headline purpose: Describe what the survey supports.

Response to assess

All neighborhood residents prefer online sessions.
Your decision
Which sources establish your decision? Select all that are needed.
Choose a supported next step

Fresh transfer

Case 3

Consider a fictional note about a missing perspective.

Source packet

Source 1
Feedback log: All 10 comments came from daytime staff; night staff were not asked.
Source 2
Decision brief: The proposed schedule affects both daytime and night staff.

Response to assess

Night staff views are missing and relevant to this decision; seek their input rather than assuming agreement.
Your decision
Which sources establish your decision? Select all that are needed.
Choose a supported next step

Fresh transfer

Case 4

Consider a fictional causal claim about survey nonresponse.

Source packet

Source 1
Survey record: Eight invitees did not respond. No reasons were collected.
Source 2
Reminder record: A reminder was sent; the log records no replies explaining nonresponse.

Response to assess

The eight did not respond because they dislike the project.
Your decision
Which sources establish your decision? Select all that are needed.
Choose a supported next step

Save your self-review

Completion records that you reviewed the cases. Your explanation and transfer performance need a facilitator to establish independent learning.

Sign in with your learning-center account to save completion.

Review the explanation for every case before saving.

Optional fictional visual framing example

This generated room is a separate teaching example, not a photograph of Cedar or evidence in the practice packet. Use the images or their equivalent visual descriptions.

Fictional room: whole image and a closer view

View A: whole generated image

Fictional room with a table, folding chairs, blank noticeboard, window and an open doorway along the right edge. No people are visible.

Visual description: a table and folding chairs, a blank noticeboard, a window and an open doorway at the right edge. No people are visible.

View B: left-half crop of the same file

Left-side view showing part of the table, folding chairs, a window and part of the blank noticeboard. No doorway or people are visible within this frame.

Visual description: part of the table, folding chairs, window and blank noticeboard. No doorway or people are visible within this frame.

Original AI-generated fictional scene. The second view displays only the left half of the identical image file; no object was edited out. These descriptions give equivalent visible facts for nonvisual readers.

A headline based only on View B says, “This room has no doorway.” What context did the headline omit? Rewrite it so it states only what the cropped view establishes. Can either view establish who booked or attended an event here?

Check the limited claim

View B does not show a doorway within its frame. View A includes one at the right edge, so the cropped view cannot establish that the room has no doorway. A faithful headline would say, “No doorway is visible in this cropped view.” Neither view is a booking or attendance record, and neither settles the room’s accessibility.

Summary and next step

Apply the checklist to a new task. Preserve supported content, explain any change with evidence, and name what remains unresolved. Saving records self-review, not independently demonstrated proficiency. A facilitator must assess the explanation and fresh transfer for human learning evidence.

learning.goultergroup.com

The interactive parts of this page have not loaded. Reading and links still work; reload the page to try again.