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.
Topic
Posts
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.
New Research Brief by Jim Samuel: The Critical Need for Transparency and Regulation Amidst the Rise of Powerful AI Models
Given AI’s vast socioeconomic implications, government actors and technology creators must proactively address the unique and emerging ethical concerns that are inherent to AI’s many uses
What can we expect from AI and Chatbots in the next few years?
On March 15, Newswise hosted an expert panel on how artificial intelligence and chatbots are changing the landscape of journalism and the transfer of knowledge (watch the video and read the transcript here). Panelists included Sercan Ozcan, Associate Professor of...
EJB Talks: Public Informatics Spotlight–from Data Analytics to Artificial Intelligence Impacts
Public Informatics Program director Jim Samuel talks about his path to studying the Big Data phenomenon, the future of informatics and artificial intelligence, and what the arrival of Chat GPT means for society.
Clint Andrews et al. publish AI in Planning: Opportunities and Challenges and How to Prepare
Prof. Clint Andrews co-authored new white paper with the “AI in Planning” Foresight Community which discusses the potential impacts form AI on the planning profession, ethics, and more.
Prof. Samuel Warns AI Needs to Balance Utility and Privacy in Opioid Overdose Tracking
The Daily Beast asks "Are the AI models ready for Primetime?". In "How Bots Can Prevent Opioid Overdoses Before They Happen," Maddie Bender looks at one of the leading causes of death in America and how AI can help through a program called "Hotspotting the Opioid...
New Jersey State Policy Lab: Using Creative Informatics and Artificial Intelligence to Address the Drug Addiction Crisis in New Jersey
New Jersey has a persistent substance addiction problem which must be viewed in the context of laws, policies, and initiatives implemented to address it.
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