Regarding the quote above — we agree. However, it should be noted that the ‘simple substitution story’ works at the aggregate level over a period of time with the simple assumption that the tasks which comprise current jobs can be decomposed and recombined into new jobs. Certainly, institutions (both firms and public sector) will take some period of time to be able to repackage certain existing jobs. Thus, lags are to be expected. < Click Here to Access the Article >
Lots more retail jobs than coal jobs … suffice to say, the path to automation and the future of work is going to be unevenly distributed
I am pleased to serve as a Program Chair and Speaker at the Plenary Presidential Summit @ New York State Bar Association Annual Meeting. Today’s topic will be Artificial Intelligence and its Impact on the Legal Profession. Joining me on the panel are the following panelists covering the following topics:
What is Artificial Intelligence? What is Machine Learning?
Dera J. Nevin, eDiscovery Counsel, Proskauer
What are Some Applications of Artificial Intelligence, Machine Learning, and Predictive Analytics in Law?
Andrew M.J. Arruda, CEO & Co-Founder, Ross Intelligence
Daniel Martin Katz, J.D., Ph.D., Associate Professor of Law, Illinois Tech – Chicago Kent Law
What are the Labor Market Impacts? More Jobs, Less Jobs, Different Forms of Legal Jobs and Legal Work?
Noah Waisberg, J.D., Co-founder & CEO, Kira Systems
It is a global battle for talent and labor market(s) are full of noisy signaling (such as elite credentialing, etc.) The question for many organizations is how to arbitrage the existing labor market(s) and find undervalued talent. Competitions such as Kaggle, etc. allow for serious and verifiable demonstrations of skill which can help overcome the strong prestige laden priors held by many managers (or in this case VC’s).
Small N here (n=30) but it is still worthy of consideration. {HT Flowing Data}
