nguyen thi phuong lang
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  • đà nẵng
  • Vietnam
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nguyen thi phuong lang's Page

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What are your interests and areas of expertise in international relations?
Environment, Human Rights, War
Tell everyone a little about yourself and what you hope to gain from the Global Ethics Network.
success comes from wisdom
wisdom comes from experience
experience comes from mistakes.
so, this this my oppotunity to changes my experience to wisdom.

Nguyen thi phuong lang's Blog

Looking for Contest Partner

Posted on March 6, 2013 at 3:30am 0 Comments

hi everyone, my name is Lang, I comes from Viet Nam,I want to participate in the contest with the hope to expand the…

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Carnegie Council

The Crack-Up: Dwight Eisenhower & the Road Trip that Changed America, with Brian C. Black

In 1919, a young Army officer named Dwight Eisenhower, along with a "Mad Max"-style military convoy, set out on a cross-country road trip to examine the nascent state of America's roads. Penn State Altoona's Professor Brian C. Black explains how this trip influenced Eisenhower's decisions decades later, both as general and president, and laid the groundwork for the rise of petroleum-based engines and the interstate highway system.

AI in the Arctic: Future Opportunities & Ethical Concerns, with Fritz Allhoff

How can artificial intelligence improve food security, medicine, and infrastructure in Arctic communities? What are some logistical, ethical, and governance challenges? Western Michigan's Professor Fritz Allhoff details the future of technology in this extreme environment, which is being made more accessible because of climate change. Plus he shares his thoughts on some open philosophical questions surrounding AI.

The Ethical Algorithm, with Michael Kearns

Over the course of a generation, algorithms have gone from mathematical abstractions to powerful mediators of daily life. They have made our lives more efficient, yet are increasingly encroaching on our basic rights. UPenn's Professor Michael Kearns shares some ideas on how to better embed human principles into machine code without halting the advance of data-driven scientific exploration.

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