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Frequently Asked Questions

What is AI? The simulation of human intelligence in machines, enabling them to learn, solve problems, and recognize patterns, says WEKA and scoop.market.us.

AI vs. Machine Learning vs. Deep Learning: AI is the broad field; Machine Learning (ML) is a subset where machines learn from data, and Deep Learning (DL) is a subset of ML using neural networks, like Russian nesting dolls, notes Qualcomm.

How Does AI Learn? Through vast datasets, identifying patterns, and improving performance over time, even without explicit new programming, note WEKA and scooper.market.us.

What is Responsible AI?: Focuses on fairness, transparency, accountability, and privacy, involving the people, environment, and technology in the system, says Microsoft Learn and ISMPP.

Can AI replace humans? AI acts as a powerful tool and facilitator, enhancing human creativity and productivity, not replacing it, suggest Pronto Marketing and AVID Open Access.

How do you "teach" AI? By feeding it massive amounts of labeled data, allowing it to find correlations and patterns, explain scoop.market.us and the Franklin Institute.

What about AI bias? AI inherits biases from its training data, but techniques in Responsible AI aim to detect, mitigate, and explain these biases.