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• Algorithms: The algorithms in itself do not add biasness to an AI model, but it amplifies the biasness. Let’s
          see an example of an image classifier model. Its trained on images in the public domain—pictures of people's
          kitchens. It so happens that most of the images are of women rather than men. AI algorithms are designed to
          maximise the accuracy. Therefore, an AI algorithm may decide that the people in the kitchen are women despite
          the fact some of the images are of men.
           • People: The last source of AI bias is people. Those who design AI models focus on achieving the desired goals.
          On that path at times, the biases of the developers are reflected in their models. It's important to note here that
          the ethics and AI bias are not the problems of the machine but the humans behind the machines.


                 AI Access


        AI Access can be acquired by two means:
           • Data availability: AI needs access to huge data sets so that it can analyse it and draw conclusions and learn
          from it.
           • Abilities: AI needs access to capable hardware to turn its learning into useful action. Self-driven cars are
          examples of AI with right access.

        AI is used on bigger, faster and more expensive machines. AI is a privilege which only a few people can afford
        and take advantage of this new technology. This has created a gap between these two classes of people and it
        gets widened with the rapid advancement of technology.


                 Advantages of AI

        The following are the advantages of AI:

           • Increased Automation: AI can be used to automate anything, ranging from tedious tasks to the process of
          recruitment of employees. There are AI-based applications that can be used for the hiring of new recruits. Mya,
          is an AI app that automates tedious parts of the recruitment process such as sourcing, screening and scheduling.
           • Increased Productivity: AI is widely used in businesses. It is used to manage highly computational tasks that
          require maximum effort and time. Starting from the staff recruitment to automated packing of products, AI has
          the potential to increase productivity.
           • Smart Decision Making: AI helps in making smart decisions. Salesforce Einstein Analytics is a comprehensive
          AI for CRM (Customer Relationship Management), designed to enable companies to make smarter business
          decisions. The goal of this technology is to give sales and marketing departments more comprehensive customer
          behaviour and sales prospects.
           • Solve Complex Problems: AI is being used in solving complex problems that cannot be solved by human
          beings. Through the years AI has progressed from simple machine learning algorithms to advanced machine
          learning concepts that have helped resolve complex problems like fraud detection, medical diagnosis, weather
          forecasting and so on.
           • Strengthens Economy: AI is estimated to contribute $15 trillion to the world’s economy by 2030. It is estimated
          that the greatest impact of AI will be in the field of healthcare and robotics. The rise in the economy will mainly
          be from substitution of work by automation and increased innovation in products and services.

           • Personalization: Personalization techniques can be simplified using AI. It is now easiest to target customers
          with  the right product.  Thread,  a UK based fashion company  uses AI to provide personalised clothing
          recommendations to each customer.


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