Monday, January 11, 2016

B1: Group A- Janet Tran

            Artificial intelligence has a wide range of applications; however, the common motive among all is to create a system that “do[es] well things that humans do poorly or don’t like to do.” There are various near term factors that dictate how quickly artificial intelligence will permeate a particular field/industry. Mainly, with any type of new technology, capital is required. As professor Mitchell mentioned, the architecture and construction industry is lagging behind aviation. This fact is partly due to little cash flowing into the research and development of new methods for construction. Additionally, the long-term future of AI will evaluated based on how economically valuable it is and its ease of use.

            My opinion is that the use of artificial intelligence and robots in the construction industry can greatly reduce building costs. The obvious reason is that, human labor can either be reduce or eliminated completely. However, the social and economic implications are not without concern. Construction is a very costly business largely due to the risks that are involved. Human casualties have always been a topic of concern, especially as building designs continue to push the limits. The top four fatal causes (2012) were 36% falls, 10% being struck by objects, 9% electrocution, and 2% being caught between objects. In the future robots could be implemented in ways that reduce human risk and improve safety. Workers compensation costs can be reduced, if robots replace unsafe human labor.

            We already see AI in the form of computing between networks in contemporary architecture. As energy becomes a more pressing crisis, I believe the continued development of building automation system (BAS) will accelerate. Building automation systems are implements to allow the building to operate in response to its environment. No longer do the various building systems operate in a steady state. These logic based control systems allow the building to become transient. For example window-shading devices propagate depending on occupant needs. Energy consumption can be minimized while also meeting cooling and heating demands. I think the future of AI in relation to solving society’s energy issues lies in logic based computer software. The way in which a building operates most efficiently is dependent on a series of cost-benefit decisions. Since the architectural, mechanical, electrical, plumbing, etc. systems are all integrated. Therefore, improving the performance of one may sequentially compromises others. The future of high performance buildings will exploit artificial intelligence, computer software, and sensors to allow the building to operate autonomously. I see the future of buildings as a transient living structure able to weigh the advantages and disadvantages of various sequences of operations in real time for an improved net efficiency. The basis of computer software is to facilitate the building operation, which involves loops of various if-then statements; finally to arrive at a position of most optimal performance. The reason computer software is because, though humans have the logic, it is necessary that these large volume decisions be made very quickly. The issues that BAS systems seek to deal with are dependent on owner needs. ASHRAE has outlined various topics as shown below.




BAS computer software and control systems can address these issues. Studies suggest that computer software and human service used in conjunction can potentially solve the world's problems. The idea is that humans are better than machines at specific tasks that are apart of the large picture solution. With computer intelligence micro-tasks can be assigned to a large source of humans power among a large network and then reframed and stitched back together to arrive at an answer or solution. Though this may not solve climate change, disease, or geopolitical conflicts, the concept of sourcing human computation can create a new unprecedented flexible collaborative environment.  Additionally, of course with the growing need of computing power and data storage, this will result in the growth of data centers. 

[1] Article: Evolution, Sociobiology, and the Future of Artificial Intelligence 
Author: Waltz, David

[2] http://ehstoday.com/construction/fatal-four-safety-construction-industry-infographic


[3] http://ashraeny.org/wp-content/uploads/February-2015-Building-Automation-Systems.pdf

[4] http://www.kurzweilai.net/can-human-machine-superintelligence-solve-the-worlds-most-dire-problems



Student Comments

Comment on Redus' blog post

Comment on Shield's blog post

Comment on Schroeder's blog post

2 comments:

  1. I liked your take on the future of buildings as a living structure that responds to its environment with all parts of the system connected so that an improvement in one area does not drastically decrease the efficiency of the others. I agree that the most efficient way to reduce energy costs is through cost-benefit analyses that only a computer could do as there are so many possible changes to the different building systems that must be analyzed in order to find the best way to obtain a goal. An interesting expansion to this would be the use of deep learning for the system to predict the needs of the building at a given time in the future and make decisions now that would be most efficient not just in the moment, but hours or days in the future as well. For example, the system can implement the more passive changes, such as moving the window shading to reduce heat in the building in anticipation of an increase of temperature. This would reduce energy use as changing the blinds takes a long time to have an effect on the internal conditions, so doing so once the temperature is too high is a less effective use of the system. However, changing them before the air conditioning must be turned on would decrease the need for the air conditioning in the future.

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  2. Hi Janet! I agree that the use of artificial intelligence can greatly reduce construction costs. However, I also believe that the use of AI in construction will add extra construction costs at the same time. At this point in time, there are many bugs in the applications of AI that still need to be worked out. There could be huge maintenance costs at first in regards to AI if the AI isn't doing the job correctly. In fact, the maintenance costs may add up to be more than labour costs. However, further down the road in the future I agree that AI will reduce construction costs and will cost much less than labour. Great post!

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