Artificial Intelligence News Feed
USC at the NAACL ’22 Conference: Gender Bias in AI, a Tool to Study News Revisions, and Methods to Avoid Toxic Content
Notable research also includes work on mitigating anti-queer bias and improvements for e-commerce stores.
USC ISI researchers track crypto pump-and-dump operations on social media
They monitored social media and showed attempts to inflate coins’ value are coordinated via conversations on various platforms.
ISI researchers train artificial intelligence models to consider common-sense when generating responses
The goal: help those algorithms accurately predict a human’s next thought.
‘That’s Just Common Sense’. USC researchers find bias in up to 38.6% of ‘facts’ used by AI
A team of researchers from the USC Information Sciences Institute studied two AI databases to see if their data was fair. They found that it wasn’t.
USC at ICLR 2022: learning how to learn, decision making in complex environments, better forecasting models
USC researchers advance the state-of-the-art in AI and deep learning at top international conference.
AI study finds that males are represented four times more than females in literature
An artificial intelligence study on female prevalence in literature finds a staggering discrepancy in female representation.
Talented early career researchers recognized again by NSF
The NSF CRII program helps outstanding researchers launch their research, consistently recognizing USC’s Information Sciences Institute junior talents.
Kristina Lerman elected an AAAI Fellow
She is the third researcher at USC Viterbi’s Information Sciences Institute to receive the prestigious honor.
USC at the AAAI ’22 conference: 3D objects recognition, teaching robots to think on their own, finding information in any languages
New models help information detection in many languages and 3-D objects recognition, as well as robots training.
Michael Pazzani, pioneer in machine learning, joins ISI to strengthen its AI strategy
His research on explanation can’t always be explained to a ten year old, but his contribution to the machine learning field has led to very concrete innovations, from media personalization to salary predictions for athletes.