Automation's Impact on Society

This assignment analyzes the growing influence of automation technologies, particularly robotics and artificial intelligence, across various sectors of the economy. It examines how these advancements are reshaping industries, impacting employment, and influencing societal structures. The discussion encompasses both the potential benefits and drawbacks of automation, highlighting its transformative nature and implications for the future.

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The use of robotics and/ artificial intelligence has a positive impact on society
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Introduction
Emerging technology such as robots, artificial intelligence is advancing at the rapid pace.
Robotic technology has been improving rapidly, offering us with the technological innovation
that could assist with the home chores, automobile setup along with other many tasks (Fast and
Horvitz, 2017). Robotic technology has transformed from the past to the present surround
everyone in today society, which influences both work and the leisure activities. Since the dawn
of the millennium, robots are significantly developing the major functions that are needed to
enable them to be substituted for the humans in everyday tasks. With the technological
improvements they have allowed programmed mechanism that allows the accomplishment of the
superior tasks to the organic counterparts (Gurkaynak, Yilmaz and Haksever, 2016). Robotics
has been utilized from the average household appliances for example the toaster, washing
machine to the industrial robots and artillery machinery. Machines are found in every aspect of
our life starting from simple everyday tasks, via the industrial robots performing hazardous or
maybe daunting task for making our life less difficult and in the process of saving individual
funds (Gurkaynak, Yilmaz and Haksever, 2016).This essay will highlight the use of the robotic
which has a positive impact on the society. This essay will critically and evaluates how the
robotic or the artificial intelligence would impact the society positively.
Robotics/ artificial intelligence are the two topics which have generated consistent
interest in the last few decades. From the Google self driving vehicles to the apocalyptic
predictions in relation to the unemployment, they have been constant present to the media outlets
along with the imagination of the public. Artificial intelligence has undergone significant
advances over the last few years (Gurkaynak, Yilmaz and Haksever, 2016). Many of the sub-
disciplines include the machine learning, machine vision and the data mining. This advanced has
allowed the increase in the number of the non-routine task to become automated by dividing
them to the well defined problems. The increase in the capabilities of the AI is making the
software to increase the adaptation of the automated knowledge based jobs particularly in the
service sector of the economy. An example artificial intelligence has been utilized in the sensors
and the big data applications. The quality and the precision of the variety of the data which has
been deployed in the robotics are increasing more systematically (Gurkaynak, Yilmaz and
Haksever, 2016). According to the report by BCG, the prices of the software as well as the
hardware which are deployed in the robots that are deployed in the manufacturing would
decrease by twenty percent in the next decade and the performance of these robots would
increase by 5% on the yearly basis. The increase in the quantity as well as the quality of the
sensor which have been deployed in the robotic has resulted to the increase in the amount of the
data which is collected. The presence of this data allows the engineers in overcoming the wide
range of the engineering problems which have impacted the society negatively. The possibilities
of utilizing the robotics particularly in the non-routine tasks which are manual are increasingly
due to presence of more adept sensors (Siciliano and Khatib, 2016). An example of such robot is
the Baxter. This robot was designed to make use of the advanced sensors as well as
manipulators. The development of the various subfields of AI such as the machine learning has
enabled the division of the simple tasks into the well defined issues which could be susceptible
the process of automation. Problems which are difficult to the human are completed by the
robots on their own making the human redundant in that particular task.

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Artificial intelligence has been driving the adaptation as well as the implementation of
the precision medicine and production of the food. A growing method for the ailment treatment
in addition to the prevention typically takes into the account of the variability in the genes,
environment along with the lifestyle for every individual (Hengstler, Enkel and Duelli, 2016).
The usage of the precision medicine enables the doctors along with researchers to predict more
accurately the treatment together with the prevention approaches for a particular disease that
would operate in groups of the people. Many of the answers generally lie in the great volume of
the medical data that has also been collected. The AI algorithms for example the deep learning
permit the doctors and hospitals to evaluate better their data (Hengstler, Enkel and Duelli,
2016) .The doctors will accurately and efficiently diagnoses various diseases such as therapies
which could work better to certain patients. Nonetheless, artificial intelligence could be costly to
the especially on the research part and many organizations are not able to meet the cost
associated to it. Another example of utilization of the usage of the robotics/ artificial intelligence
is in the production of the food. The population of the world is expecting to improve much
substantially over the subsequent three decades; however the capability for the production of the
food production will struggle in keeping with this pace. The AI will drive the efficiency in the
current farming methods in increasing the production as well as reducing the wastage without
impacting the environment (Fast and Horvitz, 2017). An example the system for example the
John Deere Auto Trac has enabled the huge machine in planting the crops in uniform and at
accurate way to reduce overlap in the agricultural processes for example the tilling, fertilizing
and planting and this in turn reduces the usage of the chemical and increase in the productivity.
Additionally, Caintus which is a machine vision organization they are utilizing deep learning and
this has created the facial recognition system which could be used to identify the cows through
their facial aspects in just seconds (Gurkaynak, Yilmaz and Haksever, 2016). This will enable
the farmers to monitor huge herd with the minimal human involvement. To the contrary of this
aspect it becomes very expensive to adopt on this technology and only a few developed nations
are utilizing the use of the AI and the robotics in the farming sector.
Conclusion
The impact of the automation technologies such as the robotics and AI has already been
felt all through the economy. The worldwide variety of the robots has improved rapidly over the
past few years. The falling in the prices of the robots which could operate all day with no
interruption could make them cost competitive with the human workers. When in the service
industry the computer algorithms can easily carry out stock trade in a short time, much faster
compared to the humans. Because these technologies turn out to be cheap, and widespread, they
are going to find more programs in the economy which would impact the society in numerous
ways both positive and negatively. An example, the robots would replace the human labour and
many individuals in the society would lose employment. Thus, robotics and artificial intelligence
would impact the society positively in ways we cannot imagine.

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References
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