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AI—Issues and Concerns


              The  rapid  advancements  in  computing,  robotics,  and  AI  have  brought  about  significant  challenges,  including
              ethical dilemmas, job displacement, privacy concerns, and risks of AI errors. As AI systems take on critical roles in
              healthcare, education, transport, and the economy, these concerns continue to grow.

              Some of the major challenges related to AI are as follows:
                 • Job loss: Machines and robots powered by AI can replace human workers, which could lead to unemployment. For
                 example, a hotel in Japan called Henn-na hotel started using robots for hospitality resulting in job loss of humans.

                 • Privacy risks: Many AI-powered devices and apps collect personal information, raising concerns about privacy. For
                 instance, Smartphones had a Face ID feature that used advanced technology to recognise faces. Initially, the phones
                 could be unlocked using a printed photo of the user. However, it has since been upgraded due to privacy concerns.
                 • AI mistakes: AI systems can make errors that have serious consequences. For example, Uber’s self-driving cars
                 ran through red lights during a test, and Microsoft’s chatbot Tay started posting offensive messages online
                 shortly after its launch.
                 • Autonomous weapons: AI is used to create "killer robots" that can make decisions on their own. These weapons
                 are risky because they could be misused or hacked, leading to dangerous situations.
                 • Bias and discrimination: AI systems learn from data, and if the data is biased, the AI can also become biased.
                 This has caused problems, such as unfair hiring decisions or facial recognition systems not working well for
                 certain groups of people.
                 • Environmental impact: Running AI systems requires a lot of electricity, which can harm the environment by
                 increasing carbon emissions. This makes it important to consider how we can use AI in a more eco-friendly way.

                       Ethical Frameworks of AI


              Frameworks are a series of actions that is designed to help in addressing problems. They offer a methodical
              approach for solving problem in a systematic manner that guarantees every relevant aspect and situations are
              considered. Framework also serves as a common language for collaboration and interaction, which makes it easier
              to share efficient procedures and encourages consistency in approaches for solving problems.
              Ethics are morals or values that assist us in identifying what is right and what is wrong. Ethical frameworks provide
              a  valuable  tool  that  help  us  in  dealing  with  complicated  moral  issues.  They  offer  a  structured  approach  that
              assists both individuals and organisational level decision-making by considering their ethical viewpoints. Such
              a systematic approach guarantees that possible consequences are sensibly assessed and it minimises the risk of
              unintentional negative results. By adhering ethical frameworks, individuals and organisations can make choices
              that align with their values, promote beneficial outcomes for all stakeholders, and improve the overall responsibility
              and ethical decision-making. AI is introducing many great new applications and providing benefits across all areas
              of our lives. As AI moves from research labs into the real world, more and more people are becoming aware of
              ethical concerns. AI is a powerful tool. It can be used in ways that can affect the society – positively or negatively.
              For example, electricity or nuclear energy, a lot depends on us - how we utilise AI for humanity.
              Need of Ethical Frameworks for AI


              Ethical frameworks are important to ensure AI development matches the goals for the development of human
              beings. They help in addressing the problems to achieve the SDGs making AI more trustworthy, safer and its
              development in a responsible way.

              The need for the ethical framework is given below:
                 • Fairness and bias: AI should treat everyone equally. Ethical frameworks help reduce bias in AI, ensuring
                 it do not favour one group over another. This ensures all individuals are given equal opportunities and
                 treatment.

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