Peer to Peer: ILTA's Quarterly Magazine
Issue link: https://epubs.iltanet.org/i/1533864
P E E R T O P E E R M A G A Z I N E · S P R I N G 2 0 2 5
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The same applies to diversity
knowledge, you never know
a person's perspective or
familiarity. AI can help us
with many tasks we may
have struggled with, like
composing an email to gently
explain something you
have sent instructions on
several times before. It can
also assist with thoughtful
compositional elements
like inclusive language, bias
detection, cultural sensitivity,
and accessibility.
Ask me to write a set of steps
to get a user where they need
to go in an application, and
I will rise to that occasion
– even if it is the 100th time –
wink. Ask me to compose an
email that is both sensitive
and informative; I may
struggle with that. Since we
should all strive to improve
communications, when
possible, let us look at ways
AI can help us increase our
sensitivity to diversity and
inclusion.
INCLUSIVE LANGUAGE
The American Psychological
Association Inclusive
step towards inclusive
language, due diligence, can
be accomplished through
AI. Use active prompt verbs
like "analyze" combined
with information about the
recipients to produce editing
suggestions. For example,
you can paste the intended
text of your communication
into an AI assistant and
preface it with "Analyze this
message for diversity and
cultural appropriateness as
though it were being sent to
company peers in the United
States." You will be surprised
by how quickly and easily the
suggested changes improve
your message!
BIAS DETECTION
AI can identify and flag
biased or insensitive
language, offering alternative
phrasings that are more
inclusive and respectful.
As the United Nations'
Disability-Inclusive Language
Guidelines mentions, "the
language that we use to refer
to persons with disabilities
has an impact, as it shapes
our perception of the world"
(https://www.ungeneva.org/
Language Guide states it best:
"We encourage all people to
adhere to the basic principles
of inclusive language, which
are to choose appropriately
specific terms and to show
respect by calling people
what they call themselves.
This requires being open
to continual learning and
capacity building and
remaining mindful that
language may change.
Identity is intersectional,
meaning that people have
multiple identities affected
by interlocking systems of
oppression and privilege.
No group is a monolith.
Make sure to use inclusive
terms to acknowledge that
intersectionality. People are
different and may disagree
on language. It is acceptable
to recognize that there may
be no perfect solution. Ensure
you do your due diligence
in the language you select."
(https://www.apa.org/
about/apa/equity-diversity-
inclusion/language-
guidelines)
Regarding the last sentence
of the statement, another
sites/default/files/2021-01/
Disability-Inclusive-
Language-Guidelines.pdf).
Closed source models (such
as ChatGPT) are proprietary,
and their code cannot be
modified. Therefore, bias
detection in closed source
models may be unreliable,
depending on the sources
the model is trained on.
Reviewing the output for
bias is crucial when using a
closed source model.
Ways to mitigate bias in
responses include using
neutral language in the
prompt, being mindful of
your biases, and detecting
stereotypical language.
Example: Paste the intended
message into an AI assistant
and preface it with "Detect
any biases in the following
message. I want to send it out
to staff and attorneys at a law
firm in