Sessions in THH 202
The City of Los Angeles is working with NASA in predicting air quality in environmental justice neighborhoods. Using convolutional networks and neural networks, the machine learning algorithms are showing 92% or better prediction capability. This project has been open sourced with other cities around the world.
Exploring the symbiotic relationship between AI and accessibility, this talk unveils how artificial intelligence is intertwined with disability. It highlights AI's ability to perceive, process, and generate sensory data, transforming the world of accessibility for a more inclusive future.
Leveraging data analytics to rank companies on how equitable of a workplace they are for women.
This presentation will provide an overview of publicly available neighborhood deprivation and vulnerability indices, and will illustrate the use of these data in a machine learning model to predict hospital patient socioeconomic experiences. Takeaways will be especially relevant to those interested in social equity and algorithmic bias and fairness.
Generative AI risks and benefits. How can you use this technology responsibly?