[Critical AI’s special book events feature author visits and commentary by respondents. Below is a blog on a March 4, 2022 event featuring Aris Komporozos-Athanasiou
GUEST FORUM: SEAN SILVER ON MODELS AND MODELING: A RESPONSE TO LIPTON’S “THE MYTHOS OF MODEL INTERPRETABILITY”
[Critical AI’s Guest Forum welcomes writers on topics of potential interest to our readers inside and outside of the academy. Below is the edited script
STUDENT INSIGHTS: DO MACHINE LEARNING PROGRAMS SUCH AS HIREVUE ELIMINATE BIAS IN HIRING?
DEANNA BOLISLAVSKY The research, writing, and editing of this post was part of an undergraduate project undertaken for a Rutgers Honors College Seminar in Fall
ADVENTURES IN SCRAPISM: DATA ONTOLOGIES WORKSHOP #7: TEGA BRAIN AND SAM LAVIGNE ON ADVENTURES IN SCRAPISM
[Data Ontologies is the second in a two-part series of AY 2021-22 workshops organized through a Rutgers Global and NEH-supported collaboration between Critical AI @
From Algorithmic Interpretability to Algorithmic Contestability: DATA ONTOLOGIES WORKSHOP #6: THE ONTOLOGICAL LIMITS OF CODE
[Data Ontologies is the second in a two-part series of AY 2021-22 workshops organized through a Rutgers Global and NEH-supported collaboration between Critical AI@Rutgers and the Australian
ON DATAFIED ONTOLOGIES: DATA ONTOLOGIES WORKSHOP #5: GAVIN J.D. SMITH AND LORI MOON ON DATAFIED ONTOLOGIES
[Data Ontologies is the second in a two-part series of AY 2021-22 workshops organized through a Rutgers Global and NEH-supported collaboration between Critical AI@Rutgers and