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AI Ethical Issues and Concerns


            As Artificial Intelligence evolves, so do the issues and concerns around it. Let us review some of the issues and
            concerns around AI.


            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 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 the 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

            Also known as “killer robots” 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

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