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Widely used deep learning algorithms include models like Convolutional Neural Networks (CNNs) for image processing, Recurrent Neural Networks (RNNs) for sequential data like text and time series, and Transformers, which power modern NLP tools like ChatGPT. Generative Adversarial Networks (GANs) are also popular for creating realistic synthetic data. These algorithms enable advanced applications in computer vision, speech recognition, natural language processing, and more, making them foundational to the rapid progress in artificial intelligence today.

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The ISO family of standards is a globally recognized framework developed by the International Organization for Standardization to ensure quality, safety, efficiency, and security across industries. These standards cover a wide range of domains, including information security (ISO/IEC 27001), risk management (ISO 31000), IT service management (ISO/IEC 20000), and artificial intelligence (ISO/IEC 42001). Adopting ISO standards helps organizations meet regulatory requirements, improve internal processes, and build trust with stakeholders by demonstrating a commitment to continuous improvement and best practices.

AI Governance refers to the frameworks, policies, and processes that guide the responsible development, deployment, and use of artificial intelligence technologies. It can be broadly categorized into several types. Technical governance focuses on ensuring transparency, accountability, and fairness in algorithms and data usage. Ethical governance involves establishing moral principles to prevent harm and promote fairness, privacy, and human rights. Regulatory governance includes government and institutional policies, laws, and standards to control AI risks and ensure compliance.

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