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What is Algorithmic bias?

Algorithmic bias occurs when an AI system produces prejudiced results due to biased training data or flawed algorithms. This can lead to unfair outcomes in decision-making processes, such as hiring or lending, necessitating fairness and bias mitigation techniques in AI development.

Cloud Computing
Cloud computing is the delivery of computing services—including servers, storage, databases, networking, and software—over the internet. It provides on-demand access to resources with scalability, flexibility, and cost efficiency. Cloud computing models include Infrastructure as a Service (IaaS), Platform as a Service (PaaS), and Software as a Service (SaaS), enabling businesses to streamline IT operations and enhance innovation.
AI alignment
AI alignment refers to the challenge of ensuring that AI systems act in accordance with human intentions and values. Research in AI alignment seeks to prevent AI from taking actions that could be harmful or misaligned with societal goals.
Data analysis
Data analysis involves systematically examining and interpreting data to uncover patterns, trends, and insights. It combines statistical techniques and AI-driven models to optimize business operations, enhance decision-making, and improve research accuracy.

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