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** Some other AI games to understand the concept of NLP are as follows:
• Teachable Machine (by Google)
Link: https://teachablemachine.withgoogle.com/
• ChatGPT
Link: https://chatgpt.com/
• Semantris (based on Natural Language Processing – NLP)
Link: https://research.google.com/semantris/
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.
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