I've been thinking a bit about how to characterize the implications of AI applied to traditional modes of the education and work worlds. The simple result is the application of G.K. Chesterton's fence heuristic. In short, don't tear down the fence until you know why it was put there. It is becoming increasingly evident that AI has tremen…
I've been thinking a bit about how to characterize the implications of AI applied to traditional modes of the education and work worlds. The simple result is the application of G.K. Chesterton's fence heuristic. In short, don't tear down the fence until you know why it was put there. It is becoming increasingly evident that AI has tremendous potential for good. However, each application comes with benefits and risks. Are the benefits correctly described and are the risks and their implications understood?
I believe that it is going to come down to each individual group, business, team, and person to conduct a clear-eyed assessment of benefits and risks so that AI applications maximize benefit and minimize risk. Lacking this, many good traditional things will be lost to time. And, once lost will likely be impossible to recover. Using this article as an example, what are the systemic consequences of losing professional writers to more "cost-effective" AI algorithms? Is this really being thought through? The impacts on education is another example.
I accept that this will be hard to do. I also accept that progress marches forward. My caution here is to own the future of AI and not to let AI own the future...g.
I've been thinking a bit about how to characterize the implications of AI applied to traditional modes of the education and work worlds. The simple result is the application of G.K. Chesterton's fence heuristic. In short, don't tear down the fence until you know why it was put there. It is becoming increasingly evident that AI has tremendous potential for good. However, each application comes with benefits and risks. Are the benefits correctly described and are the risks and their implications understood?
I believe that it is going to come down to each individual group, business, team, and person to conduct a clear-eyed assessment of benefits and risks so that AI applications maximize benefit and minimize risk. Lacking this, many good traditional things will be lost to time. And, once lost will likely be impossible to recover. Using this article as an example, what are the systemic consequences of losing professional writers to more "cost-effective" AI algorithms? Is this really being thought through? The impacts on education is another example.
I accept that this will be hard to do. I also accept that progress marches forward. My caution here is to own the future of AI and not to let AI own the future...g.