Latest Trends in Artificial Intelligence

Running head: LATEST TRENDS IN ARTIFICIAL INTELLIGENCE
LATEST TRENDS IN ARTIFICIAL INTELLIGENCE
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1LATEST TRENDS IN ARTIFICIAL INTELLIGENCE
Introduction
Every media has been highlighting news regarding the dangers imposed by machine
learning, fake new about these have been increased a lot since few years. Yet the technologies
have continued to develop in automation as well as machine deception, they would help in
continuing to structure the usage of Artificial Intelligence (AI) over the upcoming years (Fast &
Horvitz, 2017). According to a recent study it has been found that the companies who have
invested in AI have obtained a financial return on the investments made by them. This report
discusses regarding the latest trends of AI in details in the discussion part.
Discussion
AI includes various inspiring as well as significant trends, these trends are as follows
Reduced time consumed in training: academic tasks that are performed using AI
usually aim in reducing the time as well as the computing power consumed for training a model
in an effective manner. With this the goal is to make the technology usable as well as affordable
in day-to-day work (Lorica, 2018). The technology regarding artificial neural networks has been
known for a long time, this works if there are sufficient tools for computing machine learning
models. A specific way by which it can be ensure that these cores are present include designing
of powerful hardware, the limitations of this must be considered as well. One more approach
includes designing new models as well as improve the existing ones for making it less
computing. The time required to train a model can also be reduced by optimizing the hardware
infrastructure that is required (Budek, 2019). Google Cloud Platform offers a cloud based
environment that helps in building machine learning models, it does not even require the
investigation regarding on-prem infrastructure.

2LATEST TRENDS IN ARTIFICIAL INTELLIGENCE
Diagram 1: reduction of time required for training
(Source: 10 trends of Artificial Intelligence (AI) in 2019)
AI transparency and responsibility: machine learning has an ever-growing impact on
the growth of the business along with social as well as legal impacts. The main question that
rises with implementation of AI is that who must be held responsible for the failure of the
technology. The main issues here includes the hidden bias in various data sets, this creates a
problem for every company that uses AI in order to power up their regular operations (Jordan &
Mitchell, 2015). An example is Amazon that had used AI for the purpose of preprocessing the
resumes. Women who applied for the job were considered before the resumes that had an
experience of around 10 years. As organizations adopt machine learning the transparency of AI
also increase. According to various studies, the mistakes performed by the technology depend on
the culture in which in the responder has grown up (Zhiming, Xiaxia & Xuan, 2017). In extreme
conditions the driver is responsible for the choices.