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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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