{"id":127628,"date":"2020-08-11T18:07:28","date_gmt":"2020-08-11T22:07:28","guid":{"rendered":"https:\/\/fsc-ccf.ca\/references\/artificial-intelligence-and-its-implications-for-income-distribution-and-unemployment-2\/"},"modified":"2020-08-11T18:07:28","modified_gmt":"2020-08-11T22:07:28","slug":"artificial-intelligence-and-its-implications-for-income-distribution-and-unemployment-2","status":"publish","type":"reference","link":"https:\/\/fsc-ccf.ca\/fr\/references\/artificial-intelligence-and-its-implications-for-income-distribution-and-unemployment-2\/","title":{"rendered":"Artificial intelligence and its implications for income distribution and unemployment"},"content":{"rendered":"

L’in\u00e9galit\u00e9 est l’un des principaux d\u00e9fis pos\u00e9s par la prolif\u00e9ration de l’intelligence artificielle (IA) et d’autres formes de progr\u00e8s technologique travailleur rempla\u00e7ant. Ce document pr\u00e9sente une taxonomie des enjeux \u00e9conomiques associ\u00e9s: Tout d’abord, nous discutons des conditions g\u00e9n\u00e9rales dans lesquelles les nouvelles technologies telles que l’IA peut conduire \u00e0 une am\u00e9lioration de Pareto. En second lieu, nous les deux canaux d\u00e9limiter principaux par lesquels l’in\u00e9galit\u00e9 est affect\u00e9e – le surplus \u00e0 des innovateurs et des redistributions r\u00e9sultant des variations des prix des facteurs. Troisi\u00e8mement, nous offrons plusieurs mod\u00e8les \u00e9conomiques simples pour d\u00e9crire la fa\u00e7on dont la politique peut contrer ces effets, m\u00eame dans le cas d’une \u00ab singularit\u00e9 \u00bb o\u00f9 les machines viennent \u00e0 dominer le travail humain. Dans des conditions plausibles, la fiscalit\u00e9 non-distorsion peut \u00eatre pr\u00e9lev\u00e9e pour compenser ceux qui pourraient autrement perdre. Quatri\u00e8mement, nous d\u00e9crivons les deux principaux canaux par lesquels le progr\u00e8s technologique peut conduire au ch\u00f4mage technique – par les effets du salaire d’efficience et en tant que ph\u00e9nom\u00e8ne de transition. Enfin, nous sp\u00e9culons sur la fa\u00e7on dont les technologies pour cr\u00e9er des niveaux surhumains de renseignement peuvent influer sur les in\u00e9galit\u00e9s et sur la fa\u00e7on de sauver l’humanit\u00e9 du destin malthusienne qui peuvent en r\u00e9sulter. Traduit a\u0300 l'aide de Google Translate<\/p>\n","protected":false},"excerpt":{"rendered":"

L’in\u00e9galit\u00e9 est l’un des principaux d\u00e9fis pos\u00e9s par la prolif\u00e9ration de l’intelligence artificielle (IA) et d’autres formes de progr\u00e8s technologique travailleur rempla\u00e7ant. Ce document pr\u00e9sente une taxonomie des enjeux \u00e9conomiques associ\u00e9s: Tout d’abord, nous discutons des conditions g\u00e9n\u00e9rales dans lesquelles les nouvelles technologies telles que l’IA peut conduire \u00e0 une am\u00e9lioration de Pareto. En second lieu, nous les deux canaux d\u00e9limiter principaux par lesquels l’in\u00e9galit\u00e9 est affect\u00e9e – le surplus \u00e0 des innovateurs et des redistributions r\u00e9sultant des variations des prix des facteurs. Troisi\u00e8mement, nous offrons plusieurs mod\u00e8les \u00e9conomiques simples pour d\u00e9crire la fa\u00e7on dont la politique peut contrer ces effets, m\u00eame dans le cas d’une \u00ab singularit\u00e9 \u00bb o\u00f9 les machines viennent \u00e0 dominer le travail humain. Dans des conditions plausibles, la fiscalit\u00e9 non-distorsion peut \u00eatre pr\u00e9lev\u00e9e pour compenser ceux qui pourraient autrement perdre. Quatri\u00e8mement, nous d\u00e9crivons les deux principaux canaux par lesquels le progr\u00e8s technologique peut conduire au ch\u00f4mage technique – par les effets du salaire d’efficience et en tant que ph\u00e9nom\u00e8ne de transition. Enfin, nous sp\u00e9culons sur la fa\u00e7on dont les technologies pour cr\u00e9er des niveaux surhumains de renseignement peuvent influer sur les in\u00e9galit\u00e9s et sur la fa\u00e7on de sauver l’humanit\u00e9 du destin malthusienne qui peuvent en r\u00e9sulter. [googletranslate_fr]<\/p>\n","protected":false},"template":"","reference-tag":[],"reference-type":[436],"class_list":["post-127628","reference","type-reference","status-publish","hentry","reference-type-white-paper"],"acf":{"citation":"Korinek, A. and Stiglitz, J. (2017). Artificial intelligence and its implications for income distribution and unemployment. NBER Working Paper:24174. Cambridge, MA: National Bureau of Economic Research (NBER). 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