From the Hudson Institute, this is an hour and a half. Good day, welcome to the Hudson Institute, and thanks for showing up for this panel on Multilateral Institutions, indispensable or irrelevant to global peace and prosperity. I will be the moderator, im a senior fellow at the Hudson Institute who put together this panel, which i think is on a key issue in d. C. And globally indeed. Its talked about a lot, but there arent that many panels about the topic around town. So i look forward to this discussion. So as i mentioned for the past couple of years, theres been a lot of debate about Multilateral Institutions and on chinas influence and how that is quickly growing and leading to changes in the fundamental rules of these institutions and also giving rise to alternatives to the old ones. And one question that arises then, does that make the institutions that we already have counterproductive to preserving a liberal world order when authoritarian states rise within the institutions and
I will be the moderator. Am Liselotte Odgaard i put together this panel which i think is on a key issue in d. C. And globally indeed. It is talked about a lot although there are not that many panels about the topic around town. I look forward to this discussion. I mentioned to come up for the past couple of years, there has been a lot of debate about Multilateral Institutions and on chinas influence and how that is quickly growing and leading to changes in the fundamental rules of the since to two nations and also giving rise to alternatives to the old ones. And one question that arises the is does that make institutions that we already have counterproductive to preserving a liberal world order when authoritarian states rise within the institutions . And partly take over responsibility for them . Another key issue is the one on fragile states. They seem to be continuously bogged down in poverty, lack of education, etc. Although we have spent decades on development aid, peacekeeping, et
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Artificial intelligence has made tremendous advances since its inception about seventy years ago. Self-driving cars, programs beating experts at complex games, and smart robots capable of assisting people that need care are just some among the successful examples of machine intelligence. This kind of progress might entice us to envision a society populated by autonomous robots capable of performing the same tasks humans do in the near future. This prospect seems limited only by the power and complexity of current computational devices, which is improving fast. However, there are several significant obstacles on this path. General intelligence involves situational reasoning, taking perspectives, choosing goals, and an ability to deal with ambiguous information. We observe that all of these characteristics are connected to the ability of identifying and exploiting new affordances-opportunities (or impediments) on the path of an agent to achieve its goals. A general example of an affordan