In this series, you will be able to pose questions and get your doubts addressed. The skilled staff at INDIAai will respond to your questions.

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Who is in charge of ensuring that AI is used ethically? - J P Beeman, Bihar

The ethics committee assesses each AI use case identified by an organization for potential ethical issues. For example, the Organization for Economic Co-operation and Development (OECD), which has 37 members, was set up in 1961 to help economic growth.

Why is Python used to run artificial intelligence and not C++? - Kala Sunder, Chennai

Python is also an excellent choice for data analysis and machine learning. While we can use C++ for ML projects, it's not recommended. It is because python has a better infrastructure for supporting artificial intelligence and machine learning frameworks and is far easier to use.

What is Deep Natural Language Processing (DNLP)? - Sampoorna, Pune

Deep learning in NLP is when algorithms and models for machine learning, like convolutional neural networks (CNN) or recurrent neural networks (RNN), are used to learn the rules for language analysis instead of being taught them.

Deep NLP models have recently been developed for a variety of search tasks. These studies focus on enhancing offline relevance performance by adding new data, such as personalization. Several current initiatives have been implemented in online productions. However, most models are for the embedding precomputing technique for document ranking tasks. In contrast, we want to balance latency, resilience, and efficacy to produce deep NLP models for far more complex tasks.

Is computer vision a type of AI? - Shylaja, Mangalore

Computer vision uses artificial intelligence (AI) to enable computers to get helpful information from photos and videos. It teaches computers to take images and video data and figure out what it means. The computer can then act automatically based on what it has learned. In the same way that AI lets computers "think," computer vision allows them to "see."

What are the examples of AI ethics? - Manigandan, Secunderabad

Ethical AI ensures that the organization or entity's AI projects respect human dignity and do not cause harm to individuals. It includes several factors, such as justice, anti-weaponization, and liability, as in the case of accident-causing self-driving automobiles.

But there are a lot of ethical problems: More people know about AI tools: And people sometimes need help understanding the decisions made by AI. AI is not neutral; decisions based on AI can be wrong, give biased results, or have bias built-in or added to them. Surveillance methods for gathering data and protecting the privacy of court users.

The legal and ethical challenges posed by Artificial Intelligence (AI) to society include privacy and surveillance, bias or discrimination, and the role of human judgement as a potential philosophical obstacle.