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Showing posts with the label ethical

What is IoT (Internet of Things)? Explained

In today's world everything is becoming smart - smartphones, smart TVs, smartwatches, smartlights and even smart cars. But have you ever wondered how these things become smart? There is only one technology behind all these which is called IoT (Internet of Things) . If you also want to know what is IoT, how does it work, what is its importance in our life, its advantages, disadvantages and what will be the future , then this blog is for you. Here we will explain IoT in simple and long Hindi. What is IoT (Internet of Things)? IoT means - Internet of Things. It is a network in which different devices (like mobile, TV, watch, bulb, fan, car, fridge etc.) are connected to each other through the internet and talk to each other. In simple words - when a simple device connects to the internet and starts sending, receiving and processing data, it becomes a part of IoT. Understand IoT with a simple example There is a smart bulb installed in your house, which you can switch on and...

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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