224,954 research outputs found

    Values and Vision: Perspectives on Philanthropy in 21st Century China

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    Values and Vision: Perspectives on Philanthropy in 21st Century China is an exploratory study of philanthropic giving among China's very wealthy citizens. Recognizing the increasing number of successful entrepreneurs engaged in philanthropic activity in China, the study explores the economic and policy contexts in which this philanthropy is evolving; the philanthropic motivations, aspirations and priorities of some of the country's most engaged philanthropists; and the challenges and opportunities for increasing philanthropic engagement and impact in China

    Global Risks 2015, 10th Edition.

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    The 2015 edition of the Global Risks report completes a decade of highlighting the most significant long-term risks worldwide, drawing on the perspectives of experts and global decision-makers. Over that time, analysis has moved from risk identification to thinking through risk interconnections and the potentially cascading effects that result. Taking this effort one step further, this year's report underscores potential causes as well as solutions to global risks. Not only do we set out a view on 28 global risks in the report's traditional categories (economic, environmental, societal, geopolitical and technological) but also we consider the drivers of those risks in the form of 13 trends. In addition, we have selected initiatives for addressing significant challenges, which we hope will inspire collaboration among business, government and civil society communitie

    Federated AI for building AI Solutions across Multiple Agencies

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    The different sets of regulations existing for differ-ent agencies within the government make the task of creating AI enabled solutions in government dif-ficult. Regulatory restrictions inhibit sharing of da-ta across different agencies, which could be a significant impediment to training AI models. We discuss the challenges that exist in environments where data cannot be freely shared and assess tech-nologies which can be used to work around these challenges. We present results on building AI models using the concept of federated AI, which al-lows creation of models without moving the training data around.Comment: Presented at AAAI FSS-18: Artificial Intelligence in Government and Public Sector, Arlington, Virginia, US
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