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AI in the News

Interesting AI links from AI Program Director David Womble

 

  1. How the Pentagon's JAIC Says It's Prioritizing Ethics In Its AI-Driven Pursuits.  Joint Artificial Intelligence Center officials stay connected with stakeholders through an executive steering group and other working groups.  <https://www.nextgov.com/emerging-tech/2020/09/how-pentagons-jaic-says-its-prioritizing-ethics-its-ai-driven-pursuits/168386/>

 

  1. Military teamwork. The U.S. Air Force is calling on the Pentagon to lay the groundwork for closer collaboration between military services on AI projects, Air Force acquisition boss Will Roper said at Pentagon technology conference last week. <https://www.airforcemag.com/roper-argues-for-more-artificial-intelligence-collaboration-funding>

 

  1. AI: Design Ethics vs. End User Ethics — the Difference Is Important.  There is currently a flurry of interest in AI ethics. The Pentagon is wrestling with establishing AI ethics for military use. Know-it-all Google is offering its advice on dealing with the tricky ethics of AI. <https://mindmatters.ai/2020/09/ai-design-ethics-vs-end-user-ethics-the-difference-is-important/>

 

  1. Congress probes how AI will impact U.S. economic recovery.  AI has the potential to improve human lives and a company's bottom line, but it can also accelerate inequality and eliminate jobs during the worst U.S. recession since the Great Depression. This dual promise and peril led members of the House Budget Committee to hold a hearing today to discuss the impact of AI on economic recovery, the future of work, and the federal budget. <https://venturebeat.com/2020/09/10/congress-probes-how-ai-will-impact-u-s-economic-recovery/>

 

  1. Response to the European Commission’s Roadmap on Requirements for Artificial Intelligence.  The European Commission believes AI may cause harm and existing legislation on consumer protection, product safety, and liability do not adequately cover these risks. To ensure the development of lawful and trustworthy AI, the Commission is consider four policy options. In these comments, the Center for Data Innovation summarizes the policy proposals and provides feedback on each option. <http://www2.datainnovation.org/2020-eu-ai-roadmap.pdf

 

  1. AI researchers devise failure detection method for safety-critical machine learning.  Researchers from MIT, Stanford University, and the University of Pennsylvania have devised a method for predicting failure rates of safety-critical machine learning systems and efficiently determining their rate of occurrence. Safety-critical machine learning systems make decisions for automated technology like self-driving cars, robotic surgery, pacemakers, and autonomous flight systems for helicopters and planes. <https://venturebeat.com/2020/09/15/ai-researchers-devise-failure-detection-method-for-safety-critical-machine-learning/>

 

  1. Transforming Waste Carbon Using AI.  Researchers from the University of Toronto in Canada and Carnegie Mellon University are using AI to transform waste carbon into a commercially valuable product. The researchers applied a machine learning model to over 240 different materials in order to find the quickest chemical catalyst to convert carbon dioxide to ethylene, a chemical precursor for products like dish detergent. <https://www.expresscomputer.in/news/artificial-intelligence-helps-researchers-up-cycle-waste-carbon/63459/>

 

  1. Can A.I. solve one of the oldest mysteries of linguistics?  Lost languages like Linear A have confounded researchers for decades, but as artificial intelligence advances, could technology crack the case? <https://www.digitaltrends.com/features/can-ai-solve-lost-languages/>

 

  1. Microsoft's updated DeepSpeed can train trillion-parameter AI models with fewer GPUs.  Microsoft today released an updated version of its DeepSpeed library that introduces a new approach to training AI models containing trillions of parameters, the variables internal to the model that inform its predictions. The company claims the technique, dubbed 3D parallelism, adapts to the varying needs of workload requirements to power extremely large models. <https://venturebeat.com/2020/09/10/microsofts-updated-deepspeed-can-train-trillion-parameter-ai-models-with-fewer-gpus/>

 

  1. Will We Outsource Religion and Spirituality to AI?  Last Sunday, we looked at the question raised by Professor David O’Hara of Augustana University (South Dakota) as to whether AI could someday have mystical experiences. Of course, a lot depends on whether AI can have any experiences at all. An agnostic himself, O’Hara has also asked us to consider how robot priests will “change human spirituality”. <https://mindmatters.ai/2020/09/will-we-outsource-religion-and-spirituality-to-ai/>

 

ORNL supports federal AI efforts

Artificial Intelligence: Societal and Ethical Implications

     https://science.house.gov/hearings/artificial-intelligence-societal-and-ethical-implications

Energy Secretary Rick Perry: It is time for America to boost its dominance in artificial intelligence

     https://www.cnbc.com/2019/05/07/rick-perry-it-is-time-for-america-to-boost-its-dominance-in-artificial-intelligence.html

The National Artificial Intelligence Research and Development Strategic Plan: 2019 Update

     https://www.whitehouse.gov/wp-content/uploads/2019/06/National-AI-Research-and-Development-Strategic-Plan-2019-Update-June-2019.pdf