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Job Loss
With more machines being used for day-to-day work, the fear of unemployment is increasing. With the emergence
of AI and automation, there will be technology-driven societal changes. The study reveals, depending upon various
adoption scenarios, automation will displace between 400 to 500 million jobs by 2030. There will be shifts in job
categories that will impact the economies of many developing countries. AI robots were replaced with human
employees in a Japanese Henn-na Hotel. This hotel started with hospitality robot staff in all the departments,
but with time the robots could not provide efficient services to its customers and were replaced with human
employees after much struggle.
Personal Privacy
In today’s scenarios, we are surrounded by technology where an individual's personal life can be tracked easily. The
gadgets and the apps used on a daily basis are AI-enabled. The data gathering abilities of AI can access your data
from the social networking websites used by you. The cameras installed use facial recognition to identify you in the
crowd. You are being followed and recorded everywhere without information. Apple’s iPhone X used an advanced
front-facing camera and machine learning to create a 3-dimensional map of a face for Face Id recognition. The
company claimed that it is programmed to work without errors even for cosmetic changes. But within a few days
of its launch, a Vietnam-based security firm-Bkav could unlock the Face ID using 3D-printed masks.
What if AI Makes Mistakes
Yes, it's true, AI can make mistakes. It's recorded that in 2016, when the Uber company conducted a test on self-
driving cars in San Francisco, Uber’s autonomous vehicle ran six red lights. The situation got out of hand, but a
licenced driver was made to sit behind the wheel in case of emergency so he took over control of the situation
immediately. In another situation in the same year, Microsoft’s chatbot, Tay was released on Twitter. It is based
on machine learning, natural language processing and social networks. It learnt its language from the people on
Twitter over time that enabled it to have a meaningful conversation based on a topic. But sadly, it was taken offline
within 16 hours of its launch as it started tweeting randomly some abusive and offensive content.
Autonomous Weapons
They are also known as killer robots. They can aim independently by pre-programmed instructions. Most of the
technically advanced countries are developing these autonomous weapons to safeguard themselves. There are
many dangers in using these weapons.
Black Box Problem
This problem is more associated with the neural networking of AI than simple machine learning algorithms. The
system uses a huge data bank to learn and produce results. There is no way to understand how the system is
working, what exactly the algorithm is doing and what method it is using during the process. Since there is no
insight, it is called a Black Box problem. This happens because the data that the AI system is working on, goes
through a lot of neural nodes which mutates it, making it extremely difficult to determine the working and the
source of the problem.
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