Sedgwick County
Implications for Governance in Public Perceptions of Societal-scale AI Risks
Gruetzemacher, Ross, Pilditch, Toby D., Liang, Huigang, Manning, Christy, Gates, Vael, Moss, David, Elsey, James W. B., Sleegers, Willem W. A., Kilian, Kyle
Amid growing concerns over AI's societal risks--ranging from civilizational collapse to misinformation and systemic bias--this study explores the perceptions of AI experts and the general US registered voters on the likelihood and impact of 18 specific AI risks, alongside their policy preferences for managing these risks. While both groups favor international oversight over national or corporate governance, our survey reveals a discrepancy: voters perceive AI risks as both more likely and more impactful than experts, and also advocate for slower AI development. Specifically, our findings indicate that policy interventions may best assuage collective concerns if they attempt to more carefully balance mitigation efforts across all classes of societal-scale risks, effectively nullifying the near-vs-long-term debate over AI risks. More broadly, our results will serve not only to enable more substantive policy discussions for preventing and mitigating AI risks, but also to underscore the challenge of consensus building for effective policy implementation.
From Boeing to Mercedes, a U.S. worker rebellion swells over vaccine mandates
Seattle/Austin, Texas – In Wichita, Kansas, nearly half of the roughly 10,000 employees at aircraft companies Textron Inc. and Spirit AeroSystems remain unvaccinated against COVID-19, risking their jobs in defiance of a federal mandate, according to a union official. "We're going to lose a lot of employees over this," said Cornell Beard, head of the local Machinists union district. Many workers did not object to the vaccines as such, he said, but were staunchly opposed to what they see as government meddling in personal health decisions. The union district has hired a Texas-based lawyer to assist employees and prepare potential lawsuits against the companies should requests for medical or religious exemptions to vaccination be denied. A life-long Democrat, Beard said he would no longer vote for the party.
3 Kansas police officers injured by modified shotgun inside vacant home: cops
Fox News Flash top headlines are here. Check out what's clicking on Foxnews.com. Authorities in Wichita, Kan., said Sunday that they are investigating a shooting that injured three police officers this weekend and working to determine if the shotgun was rigged to the door. A "modified, loaded shotgun" discharged as the officers entered a home in the city on Saturday, according to a release by Wichita Police Department spokesman Officer Trevor Macy. "Apparently there were several modifications made to this one," Macy told The Wichita Eagle.
Chowbotics is Sending Sally the Salad Making Robot Off to College(s)
Chowbotics is packing up Sally the salad making robot and sending it off to college. Well, many colleges actually, as the food robotics startup is set to announce next week a bigger push into the higher education market. Chowbotics told us that this school year, students at multiple colleges and universities in the U.S. will be able to buy salads and breakfast bowls from Sally the robot. Those schools include: Case Western Reserve University in Cleveland, OH; College of the Holy Cross in Worcester, MA; the University of Guelph in Ontario, Canada; Elmira College in Elmira, NY; the University of Memphis in Memphis, TN; and Wichita State University in Wichita, KS. These schools join Marshall University in Huntington, WV, which installed Sally in 2018.
A Lagrangian Formulation For Optical Backpropagation Training In Kerr-Type Optical Networks
Steck, James Edward, Skinner, Steven R., Cruz-Cabrara, Alvaro A., Behrman, Elizabeth C.
Behrman Physics Department Wichita State University Wichita, KS 67260-0032 Abstract A training method based on a form of continuous spatially distributed optical error back-propagation is presented for an all optical network composed of nondiscrete neurons and weighted interconnections. The all optical network is feed-forward and is composed of thin layers of a Kerrtype selffocusing/defocusing nonlinear optical material. The training method is derived from a Lagrangian formulation of the constrained minimization of the network error at the output. This leads to a formulation that describes training as a calculation of the distributed error of the optical signal at the output which is then reflected back through the device to assign a spatially distributed error to the internal layers. This error is then used to modify the internal weighting values.