SAFE: A Neural Survival Analysis Model for Fraud Early Detection
Document worth reading: “Closing the AI Knowledge Gap”
AI researchers employ not only the scientific method, but also methodology from mathematics and engineering. However, the use of the scientific method – specifically hypothesis testing – in AI is typically conducted in service of engineering objectives. Growing interest in topics such as fairness and algorithmic bias show that engineering-focused questions only comprise a subset of the important questions about AI systems. This results in the AI Knowledge Gap: the number of unique AI systems grows faster than the number of studies that characterize these systems’ behavior. To close this gap, we argue that the study of AI could benefit from the greater inclusion of researchers who are well positioned to formulate and test hypotheses about the behavior of AI systems. We examine the barriers preventing social and behavioral scientists from conducting such studies. Our diagnosis suggests that accelerating the scientific study of AI systems requires new incentives for academia and industry, mediated by new tools and institutions. To address these needs, we propose a two-sided marketplace called TuringBox. On one side, AI contributors upload existing and novel algorithms to be studied scientifically by others. On the other side, AI examiners develop and post machine intelligence tasks designed to evaluate and characterize algorithmic behavior. We discuss this market’s potential to democratize the scientific study of AI behavior, and thus narrow the AI Knowledge Gap. Closing the AI Knowledge Gap
Waffle House index as a storm indicator
Waffle House activated their storm center in preparation for Hurricane Florence. Their restaurants are open 24/7, so they need to keep track of which ones need to close or limit their menus. This might also have to do with an informal Waffle House Index that FEMA described last year:
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Waffle House index as a storm indicator
Waffle House activated their storm center in preparation for Hurricane Florence. Their restaurants are open 24/7, so they need to keep track of which ones need to close or limit their menus. This might also have to do with an informal Waffle House Index that FEMA described last year:
How many deaths were caused by the hurricane in Puerto Rico?
President Trump is once again causing distress by downplaying the number of deaths caused by Hurricane Maria’s devastation of Puerto Rico last year. Official estimates initially put the death toll at 15 before raising it to 64 months later, but it was clear even then that those numbers were absurdly low. The government of Puerto Rico commissioned an official report from the Millikan Institute of Public Health at George Washington University (GWU) to obtain a more accurate estimate, and with its interim publication official toll stands at 2,975.
Meet Zhiyu—the first Mandarin Chinese voice for Amazon Polly
Amazon Polly is a fully managed service that turns text into lifelike speech. We’re excited to announce the support for Mandarin Chinese in Amazon Polly. Zhiyu is a clear, bright, and natural-sounding female voice.
Divergent and Convergent Phases of Data Analysis
Roger Peng ** 2018/09/14