To examine the effectiveness of NJ’s low-income community solar program, the research team will use an AI-based crowdsourcing tool to engage residents from Newark’s under-resourced communities in an online open discussion to better assess their understanding of such energy justice programs.
Human decision-making is complex and shaped by a variety of factors and influenced by the individual’s experiences. Researchers have made significant progress in documenting factors that systematically bias decision-making, but there is still much to understand regarding how to correct these biases.
The potential for algorithmic harm(s) are commonly reported to be found in (but are not limited to) technologies such as generative artificial intelligence chatbots, social media, virtual reality, Internet of Things, surveillance tech, robots, etc. This new report provides a pathway to reduce algorithmic harms by incentivizing developers to first, do no harm as opposed to work fast and break things.
Bloustein Local receives grant to assist local governments with identification, management of digital technology risks
The Bloustein Local Government Research Center was recently awarded a $35,000 grant from the New Jersey Municipal Excess Liability Joint Insurance Fund (MEL-JIF) to research and develop “best practices” that can be employed by New Jersey local government units to...