How are faculty using generative AI in their classrooms?
Faculty have been incorporating generative AI within their classrooms for the past two terms, here are a few examples.
Learning to be Original: In the Age of AI, Students Need to be Taught the Skills of Innovation
AI can do a lot of things but it cannot do originality. Learn more from Dr. Alastair Bonnett, author of How to Be Original.
If AI wrote your article, what would you lose? Some thoughts on wellbeing and writing
Connect or reconnect to the joy of writing with these tips from Dr. Katherine Firth.
‘Technological reflexivity’ in qualitative research design
While reflexivity is a concept quite familiar to qualitative researchers, the idea of ‘technological reflexivity’ may be less so. Find information about October 2023 events and articles.
Interview: Speech in the Machine: Generative AI’s Implications for Free Expression
The report from PEN America, Speech in the Machine: Generative AI’s Implications for Free Expression, connects dots that are important to academic writers: intellectual freedom, and protection of intellectual property. Summer Lopez, PEN’s Chief Program Officer for Free Expression agreed to talk about these issues and controversies.
Interview: Who Is Going to Make Money from Artificial Intelligence in Scholarly Communications?
This must-read article in The Scholarly Kitchen caught my attention: “Who Is Going to Make Money from Artificial Intelligence in Scholarly Communications?” See this thought-provoking interview with the author, Joseph Esposito.
What’s afoot in the Qualitative AI space?
AI is here to stay and clearly has an impact on the practice of qualitative data analysis. Christina Silver explains!
Timnit Gebru, PhD, one of Fortune’s Top 25 Leaders in the world, Delivers Keynote Address for SICSS-Howard/Mathematica 2021
Timnit Gebru, co-founder of Black in AI, advocate for diversity in the field of technology, and Fortune’s Top 50 Leaders in the World in 2021 delivered the keynote address for SICSS-Howard/Mathematica 2021.
Innovative “Bite-Sized Lunchtime Talks” Offer Unique Opportunity for SICSS-Howard/Mathematica Participants To See Data at Work
SICSS-Howard/Mathematica participants had the benefit of novel Bite-Sized Lunchtime Talks during the inaugural SICSS at a Historically Black College or University. The purpose of this SICSS-H/M specific site innovation was to introduce participants to people and organizations doing impactful and complementary work with data.