Where on Earth is AI Headed?
Ten years ago, computers could not understand spoken words well, but today we routinely speak to our mobile phones, and computer vision algorithms have now reached human or super-human level performance for many types of…
Partnering people with large language models to find and fix bugs in NLP systems
Advances in platform models—large-scale models that can serve as foundations across applications—have significantly improved the ability of computers to process natural language. But natural language processing (NLP) models are still far from perfect, sometimes failing…
4th Annual Autism at Work Research Workshop
The Autism at Work Research Workshop brings together leading scholars, employers, clinicians, service providers, entrepreneurs, caregivers, and autism advocates concerned with autism employment. Their work may relate to the preparation, recruitment, persistence, advancement, and management…
[ICSE 22] Attracting and Retaining OSS Contributors with a Maintainer Dashboard
Mariam Guizani presents paper published at ICSE SEIS 2022 Contact Info can be found at https://web.engr.oregonstate.edu/~guizanim/
Guidelines for Assessing and Minimizing Risks of Emotion Recognition Applications [Video]
Society has witnessed a rapid increase in the adoption of commercial uses of emotion recognition. Tools that were traditionally used by domain experts are now being used by individuals who are often unaware of the…
Characterizing and Predicting Engagement of Blind and Low-Vision People with an Audio-Based Navigation App [Pre-recorded CHI 2022 presentation]
CHI’22: ACM Conference on Human Factors in Computing Systems Session: Late Breaking Work (LBW) Audio-based navigation technologies can help people who are blind or have low vision (BLV) with more independent navigation, mobility, and orientation.…