One example of this preemption of local power was provisions to S.B. 279, slipped into the bill on the last day of 2015’s 76-day extended legislative session. Those provisions prevented city governments from passing higher minimum-wage laws, establishing affordable-housing mandates, or instituting rules about landlord-tenant relations. Other examples were wrestling from cities their control of local airports, waste and water systems, local redistricting, utilities and fracking. Fortunately, many of these legislative take-overs have been blocked by the Judicial Branch. But it all points to a political ideology that seems intent on stretching or breaking the founding principals of our government in order to further the interests of the campaign contributing class – the moneyed-elite.
It seems to me that the biggest part of our conversations among educators about how AI may affect us regards our own job security. I’m not worried about that. It won’t make teaching obsolete, in my opinion, in spite of the list below. We’ll just spend less time teaching stuff to our students and more time teaching how to use stuff – essentially, how to use information to solve problems and accomplish goals.
This was all brought back to mind when I ran across this FastCompany article today about brick laying machines and other jobs that AI/Automation may replace. Thinking more about the implications, especially to education, I sought out similar articles. Here’s a list of jobs that some have suggested can be done by machines.
|Retail Sales People||Security Guards||Farmers|
|Cattle Raisers||Pharmacists||Delivery Drivers|
|Telephone Sales People||Construction Workers||Accountants|
|Tour Guides||Mixologists & Bar Operators||Librarians|
|Hospital Administrators||Teachers||Truck Drivers|
|Taxi Drivers||Insurance Adjusters||Construction Workers|
|Customer Service Representatives|
I doubt that all chefs will be replaced nor that all factory work with be done by robots. The FastCompany article suggested that a brick laying machine would do what three humans can do in a day, but one person would be needed for the more nuanced work. But autonomous vehicles alone will likely mean the jobs of 5 million Americans, who currently make a living driving taxis, buses, vans, trucks and e-hailing vehicles. According to Lawrence Katz, a labor economist at Harvard, most of these drivers are not dissimilar to the millions of factory workers who have lost their jobs since 2000 – men without college degrees. Like drivers, manufacturing jobs did not go to China, but to Fanuc, Yaskawa, ABB and Kawasaki, the top producers of industrial robots. While factories were laying off millions of American workers, U.S. manufacturing output has actually grown by almost 18% since 2006.
What will be the consequences of this much unemployment, not to mention this much uncertainty. Nearly every article suggested that the effect on society will be HUGE and that the direction of policy makers will determine whether those consequences were bad or good.
Are we assuring ourselves of leadership that is creative enough to turn what seems horrible to most of us today into something that could actually be quite wonderful.
The sources: MSN, Quartz Media, Forbes, Futurism, The Guardian, LA Times, Fortune
Links to some of the articles
A friend of mine (not to mention world traveler, master educator, keynote speaker, master photographer) once said in one of his photography workshops, that there was a difference between TAKING a picture and MAKING a picture. It’s the reason for the title of this blog article. I struggled between “The Process..” and “A Process..” The rolled better though it is not the more accurate phrasing. Each photograph that I publish on Facebook, Instagram, Flickr or that I choose to print, is developed by a process that depends on the particular challenges it presents and the outcome that I am working toward. So the follow is the process for making a particular picture of a Great Blue Heron.
First is the original photo that I took while walking along the Mine Creek Trail, part of the Capital Area Greenway in Raleigh. This is one of about 20 photos taken as I followed the bird trying to get clear shots through the trees and other growth between us. Of those, I picked images to post process based on classic and also unique positions or postures. This one I liked because of the classic posture, but also the motion that the rising left leg implied.
Blue Heron 1
Blue Heron 2
This is a fine snapshot of a Great Blue Heron. However, I want to celebrate its Heron-ness, and there is too much distracting space in the photo that prevents the viewer to from subject. So I use Lightroom to crop the photo down to a 1×1 ratio, a square.
There is still too much activity around the bird that is distracting. It is mostly the leaves and pine needles. So I load the image into Photoshop and use the healing tool to remove them. Sounds like magic? The software takes a marked object find imagery near it that matches its surrounding and then stamps that over the object. I also used the healing tool to enlarge the surface of the moss.
Blue Heron 3
Blue Heron 4
In image four, I have used a blurring filter in Photoshop to make the background less interesting / less distracting. This probably seems strange since I blurred the entire image. But that’s going to be fixed by one of the coolest tools at the photographers fingertips.
Before blurring the image (4), I had made a copy of the clearer version. These two versions were layered on top of each other. Of course, the layers top is what I saw and would would be saved. To re-clarify the parts of the image that I did not want blurred, I created a mask. This is essentially an additional layer that is all white. The white doesn’t show. However, any part of the mask layer that is painted black essentially creates a hole through which the layer beneath shows. So using a black digital paint brush I painted the rocks, water, under wash of the bank and part of the moss. Then I carefully painted in the bird’s head and neck so that they would be detailed. What’s cool about this process is that if you make a mistake and blacken too much, then you simple fix your mistake by painting the problem white.
Blue Heron 5
Blue Heron 6
|In image six, I wanted to punch up parts of the image with more color. To do this, duplicated my working layer and then turned up the color saturation on the layer beneath.|
|7.||For seven, I asked the top, less colorful layer and then I painted through only the parts I wanted to increase the color for – the rocky sandbar and the bird.||
Blue Heron 7
Blue Heron 8
For image eight, I didn’t like the dark area at the top, so I cropped that out.
|9.||I’m close now, simply fixing small things that bother me, such as the unexplainable dark area in the top left corner. So for version nine, I used the healing tool to bring in some more moss. I also made a duplicate layer, increasing the exposure on the bottom layer, making it brighter. Finally, I used the masking tool to paint in the parts of the bird that I wanted to brighten up. I also decreased the color saturation after bringing it back into Lightroom, to make it a little more real.||
Blue Heron 9
Like so many things, you are never done. There is always something else you can do to make it better, especially when you come back to it hours or days later. But typically, I am done when the photo interests me, when I’ve come close to capturing what it was that inspired me to take the picture.