Page 180 - AI Ver 1.0 Class 9
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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 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
        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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