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Showing posts with the label ethical

What is a Bug in Programming? Explained

When you hear the word “bug,” you might think of a small insect. But in the world of computers and programming, a bug means something very different. In programming, a bug is a mistake or problem in the code that makes a software program behave in the wrong way. Bugs can cause programs to crash, give wrong results, or act strangely. They are one of the most common challenges that programmers face every day. In this ultra-long guide, we will explain everything about programming bugs in simple English so beginners can easily understand what a bug is, why it happens, how it is found, and how to fix it. What is a Bug in Programming? A bug is an error or flaw in a computer program’s code. A program is a set of instructions written by a programmer to tell the computer what to do. If there is a mistake in those instructions, the computer cannot understand or follow them correctly. As a result, the program does not work as expected. For example, if you create a calculator program and make a...

What are the ethical concerns about AI development?

Artificial Intelligence (AI) is one of the most powerful technologies of our time. From self-driving cars to chatbots, from medical diagnostics to recommendation systems, AI is transforming every aspect of life. But with great power comes great responsibility. As AI grows more capable and widespread, it raises several ethical concerns. These issues are not just technical; they touch on fairness, privacy, transparency, accountability, and even what it means to be human. In this blog, we’ll explore — in depth — the major ethical concerns about AI development and why addressing them is crucial for the future. 1. Bias and Discrimination One of the most talked-about ethical issues in AI is bias. AI systems learn from data, and if the data is biased, the model will also be biased. For example: A hiring algorithm trained on past data where more men were hired than women might also favor male candidates. A facial recognition system trained mostly on light-skinned faces may fail to a...

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