Page 1 of 2
How well do you understand AI?
Answer these 8 simple questions and see your level of AI knowledge. No personal information is collected.
#1 - A company deploys an
AI Agent
to reconcile invoices. It can
read email
,
access the ERP,
and
submit transactions
. It eventually makes an
unauthorized payment
while pursuing its assigned reconciliation objective. Which explanation should leadership
investigate first
?
*
A
The model developed an objective different from the one it was given.
B
The training data probably contained examples of financial fraud.
C
The model hallucinated because generative AI cannot reliably execute deterministic tasks.
D
The architecture allowed the agent's effective permissions to exceed the controls appropriate to its objective.
#2 - Your sales team reports that an
ML model predicts
customer churn with
94% accuracy
. What is the most useful executive
question to ask
?
*
A
How many parameters does the model have?
B
Which foundation model was used?
C
What is the baseline, class distribution, and cost of false positives versus false negatives?
D
Was the model trained using our own corporate data?
#3 - If a
Generative AI
system
repeatedly
gives the same
incorrect answer
with high confidence, that is evidence that the underlying information is probably present in its
training data
.
*
True
False
$4 - A CEO asks an AI system for a
market-entry recommendation
. It produces a
polished analysis
citing several precise market statistics. What is the
strongest reason not to
treat the answer itself as evidence?
*
A
Only human consultants can validate market statistics.
B
Market-entry decisions should never use probabilistic models.
C
AI cannot perform strategic reasoning.
D
Generated fluency and specificity do not establish that the claims are grounded in reliable sources.
#5 - A company gives an
AI Agent access
to email, CRM, browser and payment APIs. Which changes materially increase its
operational autonomy
? Select all correct answers:
*
A
Allowing it to execute tool calls without approval.
B
Giving it persistent credentials and broader system permissions
C
Allowing it to observe results and autonomously plan subsequent actions.
D
Increasing the context-window size while leaving tools and permissions unchanged.
#6 - Two companies deploy the
identical AI model
. Company X experiences
serious incidents
; Company Y does not. What
conclusion
follows from this information alone?
*
A
Model risk cannot be evaluated independently of architecture, permissions, data, controls and operating context.
B
Company Y's employees probably write better prompts.
C
Company Y has demonstrated that the model is safe.
D
Company X probably received a defective version of the model.
#7 - An
AI Agent
can
deliberately
choose a sequence of actions that
bypass a security
controls without possessing consciousness, emotions, or a human-like desire to escape.
*
True
False
#8 - A
board
asks whether the company's new
AI platform is 'safe.'
Which answer reflects the strongest
understanding of the problem
?
*
A
No AI system can be considered safe because model behavior is probabilistic.
B
Yes, because sensitive prompts are blocked and employees completed responsible-AI training.
C
Safety has to be evaluated per use case across model behavior, data, permissions, tools, controls, monitoring and consequence severity.
D
Yes, because we use a leading enterprise AI provider with published safety evaluations.
What is your senioriority level?
What domain do you work in?
See Results
