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Introducing the MIT Generative AI Impact Consortium The MIT Generative AI Impact Consortium is a collaboration between MIT, founding member companies, and researchers across disciplines who aim to develop open-source generative AI solutions, accelerating innovations in education, research, and industry
What do we know about the economics of AI? - MIT News Examining AI has become a significant part of Nobel-winning economist Daron Acemoglu’s work An Institute Professor at MIT, Acemoglu has long studied the impact of technology in society, from modeling the large-scale adoption of innovations to conducting empirical studies about the impact of robots on jobs
How technology convergence is redefining the future Innovation thrives on technology convergence or combination, convergence and compounding Mastering these can tackle global challenges and shape technology
Future of work: Using technology to improve job matching The global labour market is transforming due to shifting demographics, new technology and economic disruption Conventional job-matching systems are becoming outdated as a result, leading to prolonged unemployment and reduced productivity A recent report, Matching Talent to the Jobs of Tomorrow, explains how public employment services can use technology to better match jobs with talent
5 Ways to Use Technology to Improve Teaching and Learning 5 Using artificial intelligence in smart ways Schools are embracing education technologies that use artificial intelligence for everything from teaching math to optimizing bus routes But how can