Answer capsule
EEOC technical assistance makes accessibility an end-to-end employment-system requirement.
What the source establishes
- EEOC guidance addresses software and algorithms used to assess applicants and employees.
- Tools can screen out people with disabilities.
- Employers remain responsible for ADA obligations when using vendor technology.
Accessibility is not a browser check
The assessment method, time, interaction mode, data signal, scoring rule, communication, and accommodation process can each create a barrier.
The accountable team should translate this point into a named workflow, affected population, source data, human owner, approval right, exception path, retained evidence, and review date. That translation is what separates an interesting AI development from a decision that can be governed and evaluated.
Vendor delegation does not transfer duty
Employer diligence should inspect what the tool measures, which disabilities may be affected, how accommodations change the process, and who resolves requests.
The accountable team should translate this point into a named workflow, affected population, source data, human owner, approval right, exception path, retained evidence, and review date. That translation is what separates an interesting AI development from a decision that can be governed and evaluated.
Alternative routes need equivalence
An accommodation path should preserve opportunity and evaluation quality rather than becoming a slower or stigmatized second process.
The accountable team should translate this point into a named workflow, affected population, source data, human owner, approval right, exception path, retained evidence, and review date. That translation is what separates an interesting AI development from a decision that can be governed and evaluated.
Test with affected users
Include accessibility specialists and people with varied disabilities in scenario testing before deployment and after material changes.
The accountable team should translate this point into a named workflow, affected population, source data, human owner, approval right, exception path, retained evidence, and review date. That translation is what separates an interesting AI development from a decision that can be governed and evaluated.
Decision test
Ask whether the source changes the decision itself, the evidence required, the implementation sequence, or only the language used to describe an existing capability. Record which claims are directly supported, which are provider statements, which require an independent test, and which remain unknown. A source-linked review should make uncertainty easier to see, not bury it inside a blended score.
Questions to take into review
- Which business demand and skills definitions drive the model?
- How are contingent and affected worker populations represented?
- Does the tool materially influence who advances?
- What validated job criteria support the output?
- Who owns the skills taxonomy?
- Can employees inspect and correct their profile?
- Which learning outcome is being assessed?
- What data is visible to managers or used in employment decisions?
The publication supports research and executive decision preparation. It does not provide legal, financial, accounting, employment, clinical, cybersecurity, investment, procurement, or implementation advice.