(upbeat music)
-: Leaders face significant challenges
as they seek to capture the value from GenAI.
Businesses need to rapidly deploy
and scale the technology,
while ensuring that it's proficient,
safe and equitable, secure,
and compliant with regulation and policy.
Yet as we've engaged with countless clients
across industries, we consistently see underinvestment
and lack of capability to effectively test
and evaluate GenAI systems at scale.
And that can create some real challenges.
Failing to identify risks early can mean guardrails
aren't part of initial product design,
leading to costly redevelopment
late in the product development lifecycle.
Not adequately planning resources and time
for test and evaluation can lead to schedule delays
and budget overruns, or worse,
deploying product into production with unmitigated risks.
All this can mean unintended harms for customers,
and for businesses: increased exposure to financial,
reputational, legal, and regulatory risks.
(upbeat music)
Responsible AI cannot be an afterthought.
Test and evaluation needs to be incorporated
throughout the product development lifecycle,
from ideation to development,
to post-deployment monitoring.
Combining human-based and automated test and evaluation
is the most effective and scalable way
to ensure GenAI systems deliver value and mitigate risks.
Educating the entire workforce
on test and evaluation concepts
builds awareness and understanding,
while fostering a culture of shared responsibility
to create GenAI systems that deliver, not destroy, value.