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X-WR-CALNAME:Towards Inclusive and Socially Aware Language Technologies
X-WR-TIMEZONE:America/Los_Angeles
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UID:2022-02-28-sunipa-dev@cml.ics.uci.edu
DTSTAMP:20220228T000000Z
SEQUENCE:57690
DTSTART;TZID=America/Los_Angeles:20220228T130000
DTEND;TZID=America/Los_Angeles:20220228T140000
SUMMARY:[CML Seminar] Sunipa Dev: Towards Inclusive and Socially Aware Lang
uage Technologies
LOCATION:Donald Bren Hall 4011
DESCRIPTION:Sunipa Dev\, Research Scientist\, Ethical AI Team\, Google AI\n
\nTitle: Towards Inclusive and Socially Aware Language Technologies\n\nAbs
tract: Large language models are commonly used across natural language pro
cessing and are known for their efficiency as well as their overall lack o
f interpretability. Their data-driven approach for emulating human languag
e often results in human biases being encoded and even amplified\, potenti
ally leading to cyclic propagation of representational and allocational ha
rm. In this talk we discuss detecting\, evaluating\, and mitigating biases
and associated harms in a holistic\, inclusive\, and culturally-aware man
ner. In particular\, we discuss the disparate impact of common language to
ols that are not inclusive of all gender identities.\n\nhttps://cml.ics.uc
i.edu/seminars/2022-02-28-sunipa-dev
X-ALT-DESC;FMTTYPE=text/html:Sunipa Dev\, Research Scien
tist\, Ethical AI Team\, Google AI
Title: Towards Inclusive
and Socially Aware Language Technologies
Abstract: Large lan
guage models are commonly used across natural language processing and are
known for their efficiency as well as their overall lack of interpretabili
ty. Their data-driven approach for emulating human language often results
in human biases being encoded and even amplified\, potentially leading to
cyclic propagation of representational and allocational harm. In this talk
we discuss detecting\, evaluating\, and mitigating biases and associated
harms in a holistic\, inclusive\, and culturally-aware manner. In particul
ar\, we discuss the disparate impact of common language tools that are not
inclusive of all gender identities.
https://cml.ics.uci.edu/seminars/2022-0
2-28-sunipa-dev
URL:https://cml.ics.uci.edu/seminars/2022-02-28-sunipa-dev
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