According to Carl Van Horn, professor of public policy, it’s a give and take. “As with other major technological changes, generative AI will create opportunities for some and heartbreak for others.” This could harm some sectors, as graduates with at least one formal education degree want safeguards to protect them from unemployment.
Topic
AI
New Heldrich Report: U.S. Workers Assess the Impacts of Artificial Intelligence on Jobs
“As with other major technological changes, generative AI will create opportunities for some and heartbreak for others. Workers — especially those with the least formal education — want safeguards that protect them from disruption and unemployment,” said Carl Van Horn
Podcast: Jim Samuel Discusses Rise and Risks of AI with Scholars Strategy Network
Professor Jim Samuel explains what generative AI is, how it functions, and its ethical concerns.
NJSPL – Examining Low-Income Community Solar Program and Energy Justice in New Jersey: An AI-based Crowdsourcing Study
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.
Samuel, Thakuriah Weigh In on Gov. Murphy’s New AI Task Force
Samuel said AI can be a powerful tool in amplifying the voices of U.S. citizens and promoting civic engagement. He said AI can help the government rapidly collect thoughts and feedback from individuals when penning legislation. Thakuriah emphasized the impact on transportation.
Marc Pfeiffer Uses Claude AI to Help Write Article: AI in Local Government, Helpful or Harmful?
For local governments, chatbots create exciting opportunities to improve customer service, automate tasks and cut costs. Marc Pfeiffer, Assistant Director of Bloustein Local, Center for Urban Policy Research, uses Claude AI to help write two articles on how to best incorporate this new technology.
New Report from Marc Pfeiffer – First, Do No Harm: Algorithms, AI, and Digital Product Liability
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.
What State and Local Governments Should Do About Generative AI
Society is often slow to appreciate that technological innovations have both positive and negative outcomes. Splitting the atom led to weapons that can destroy the planet, but also provided a source of carbon-free energy and health care advances. Social media apps...
What state and local governments should do about generative AI
How can we take advantage of the technology without harming the public? Society is often slow to appreciate that technological innovations have both positive and negative outcomes. Splitting the atom led to weapons that can destroy the planet, but also provided a...
Research by Jim Samuel et al. “Customized AI Readers: An Adaptive Framework for Flexible Human Handwriting Recognition of Numerical Digits with OCR Methods”
This study develops an index dubbed the pandemic vulnerability index at city level (PVI-CI) for classifying the pandemic vulnerability levels of cities, grouping them into five vulnerability classes, from very high to very low. It provides critical wisdom needed for urban healthcare policy and resource management.