Pre-proof research in Nano Energy explores the hole interlayer-dependent interfacial energetics of light-emitting diodes by combining imaging contact polarization/potential difference and multi-time scale voltage/capacitance response.
Photo credit: Photo by John Cameron on Unsplash. Contact tracing apps use artificial intelligence to track the spread of disease. Photo credit: Photo by John Cameron on Unsplash.
AAAS is launching a project to support the responsible development and deployment of artificial intelligence (AI) in healthcare contexts, and specifically in public health crises like the COVID-19 pandemic. Today the project released a landscape assessment of existing public opinion work in this area compiled by a team of researchers from the University of Wisconsin-Madison.[1] This report summarizes what we know about public views of the use of AI in healthcare and in areas affecting the pandemic response, with an emphasis on understanding the concerns of populations most vulnerable to the negative impacts of AI technology.