Elisa Beshero-Bondar PRO
Professor of Digital Humanities and Chair of the Digital Media, Arts, and Technology Program at Penn State Erie, The Behrend College.
AI, ML,
Text analysis
“technology is not neutral”
last updated: 27 April 2022
Questionably Trained "AI" is everywhere
- Image analysis
- medical
- face-recognition (crime/security)
- Natural language processing
- search engines
- marketing algorithms
- bot-generated text (GPT3)
Timnit Gebru
Timnit Gebru: “Datasheets for Datasets”:
- intervening in underspecified "data dumps"
- Also, working towards a community standard for sharing data collections?
No international standards organization (yet?)
Where do we learn about the basis of NLP training models in the software documentation or tutorials?
Timnit Gebru in Trouble at Google
See MIT Review's summary of the article that led to her exit
- Carbon footprint of AI training
- Datasets are too large and underspecified
- smaller, curated datasets aren't funded
- cost/benefit: improvements in training aren't encouraged/funded
Google's data ethicist, until 2020
Semantris game: https://research.google.com/semantris
Help google's AI with word associations
Data ethics, text analysis at scale...
And what about your projects? ? ?
AI, Text Analysis, Data Ethics
By Elisa Beshero-Bondar
