What are we going to do as automation increases, as computers get more sophisticated? One thing that people say is we'll retrain people, right? We'll take coal miners and turn them into data miners. Of course, we do need to retrain people technically. We need to increase technical literacy, but that's not going to work for everybody.

What are we going to do
What are we going to do
What are we going to do as automation increases, as computers get more sophisticated? One thing that people say is we'll retrain people, right? We'll take coal miners and turn them into data miners. Of course, we do need to retrain people technically. We need to increase technical literacy, but that's not going to work for everybody.
What are we going to do
What are we going to do as automation increases, as computers get more sophisticated? One thing that people say is we'll retrain people, right? We'll take coal miners and turn them into data miners. Of course, we do need to retrain people technically. We need to increase technical literacy, but that's not going to work for everybody.
What are we going to do
What are we going to do as automation increases, as computers get more sophisticated? One thing that people say is we'll retrain people, right? We'll take coal miners and turn them into data miners. Of course, we do need to retrain people technically. We need to increase technical literacy, but that's not going to work for everybody.
What are we going to do
What are we going to do as automation increases, as computers get more sophisticated? One thing that people say is we'll retrain people, right? We'll take coal miners and turn them into data miners. Of course, we do need to retrain people technically. We need to increase technical literacy, but that's not going to work for everybody.
What are we going to do
What are we going to do as automation increases, as computers get more sophisticated? One thing that people say is we'll retrain people, right? We'll take coal miners and turn them into data miners. Of course, we do need to retrain people technically. We need to increase technical literacy, but that's not going to work for everybody.
What are we going to do
What are we going to do
What are we going to do
What are we going to do
What are we going to do
What are we going to do

The quote "What are we going to do as automation increases, as computers get more sophisticated? One thing that people say is we'll retrain people, right? We'll take coal miners and turn them into data miners. Of course, we do need to retrain people technically. We need to increase technical literacy, but that's not going to work for everybody" by Oren Etzioni addresses the growing concern surrounding the impact of automation and technological advancement on the workforce. Etzioni, a prominent computer scientist and the CEO of the Allen Institute for AI, acknowledges that as automation and AI become more prevalent, many traditional jobs will be displaced, and society will need to find ways to retrain workers for new roles. However, he highlights that simply retraining people to work with technology may not be a feasible solution for everyone.

Etzioni specifically brings up the example of coal miners being retrained to become data miners, drawing attention to the mismatch that can occur when trying to transition workers from manual labor to technical fields. While technical literacy is certainly important in an increasingly automated world, Etzioni emphasizes that not all workers, particularly those in lower-skill or blue-collar jobs, will be able to easily make such a shift. He points to the need for more comprehensive solutions that address the broader impacts of automation, including providing support and retraining options that are accessible to a wide range of people.

The origin of this quote stems from Etzioni’s deep involvement in the field of artificial intelligence and his concern about the social and economic effects of rapid technological development. As automation becomes more advanced, Etzioni has been vocal about the need to not only focus on technical skills but also consider broader societal issues such as economic displacement and the future of work. His work often touches on the ethical and practical challenges posed by new technologies, and this quote reflects his concerns about the limitations of a purely technical solution to such challenges.

Ultimately, Etzioni’s quote serves as a warning about the complexities of managing the societal impact of automation. While retraining workers and improving technical literacy are important steps, the quote emphasizes that such measures alone won’t be sufficient for everyone, and more inclusive and holistic approaches will be necessary to address the challenges posed by automation and AI. It calls for a broader conversation about how to navigate these shifts in the workforce and ensure that economic opportunities are available to all.

Oren Etzioni
Oren Etzioni

American - Businessman Born: 1964

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