is the private sector data.A broad national initiative, perhaps with the Bureau of Labor Statistics and the Bureau of Economic Analysis setting rules for private sector data sharing and privacy protections, might not be possible, Mr. Brynjolfsson conceded. But he and Mr. Mitchell wrote in Nature, Perfection here is not a prerequisite for utility anything is better than flying blind.One program that embodies the panels recommendations is Skillful, a collaboration of the Markle Foundation, LinkedIn, Arizona State University and edX, a nonprofit provider of online courses. The partners are working with employers, educators and local governments in Colorado and the Phoenix metropolitan area to link jobs, skills and training more tightly.Past times of economic turmoil have led to new kinds of economic data collection and analysis.At the outset of the Depression in 1929, for example, there was no measure of national economic activity or reliable information on unemployment. In June 1930, based on scattered reports of improvement, President Herbert Hoover prematurely declared, The Depression is over.To address the information gap of its day, the government hired economists and statisticians to come up with a scientific method for measuring the national economy. In 1934, a team led by Simon Kuznets published its report on how to calculate national income. The field of econometrics took a big step forward, and policy makers were less in the dark.The time has now come, the expert panel suggested, for a similar effort to adapt to the modern digital economy.@edisonmariotti #edisonmariotti https://www.nytimes.com/2017/04/13/technology/artificial-intelligence-automation-report.html?mwrsm=Facebook&_r=0 colaboracao:Gilson Schwartz --br via tradutor do googleNovas ferramentas necessarias para monitorar o impacto da tecnologia sobre os trabalhos, diz Painel.America precisa de novas ferramentas para a medicao e monitoramento de tecnologia oportunas, empregos e habilidades para lidar com o avanco da inteligencia artificial e automacao, um painel de especialistas composto principalmente de economistas e cientistas da computacao em um novo relatorio Saeed.As recomendacoes do painel incluem o desenvolvimento de um I.A. indice, analogo ao Indice de Precos ao Consumidor, para acompanhar o ritmo e disseminacao de tecnologia de inteligencia artificial. Essa avaliacao tecnica, eles disseram, entao poderia ser combinada com dados detalhados sobre as competencias e tarefas envolvidas em varias ocupacoes para orientar programas de educacao e trabalho de treinamento.A colaboracao publico-privada, acrescentaram, e necessario criar ferramentas tais informacoes de muitas fontes Porque vai ser o ingrediente essencial. Aqueles gama de fontes tradicionais de informacao para as estatisticas do governo as vastas piscinas de novos dados de servicos online como o LinkedIn e Udacity que podem ser utilizados para obter insights sobre habilidades, vagas de emprego e a eficacia dos programas de formacao."Nos estamos voando as cegas para este conjunto dramatico de mudancas economicas," Erik Brynjolfsson, economista do Massachusetts Institute of Sloan School of Management, disse o Tecnologia em entrevista.Mr. Brynjolfsson foi co-presidente do painel de 13 membros convocado O relatorio de 184 paginas o que foi publicado na quinta-feira pela Academia Nacional de Ciencias, Engenharia e Medicina, uma organizacao sem fins lucrativos cujos estudos sao a analise como objetivo destinadas a informar politicas publicas. Ele e outro co-presidente do painel, Tom Mitchell, cientista da computacao