Technology, Science and Universe
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- Non-maleficence Description: Non-maleficence is a fundamental ethical principle that establishes that one should not cause harm to others. This concept(...) Read more
- Neutrality Description: Neutrality in AI ethics refers to the principle that artificial intelligence systems should not favor one group over another,(...) Read more
- Non-discrimination Description: Non-Discrimination in AI ethics refers to the principle that artificial intelligence systems should treat all individuals equally,(...) Read more
- Non-violence Description: Non-Violence in AI ethics refers to the commitment to avoid harm and promote peaceful outcomes in AI applications. This principle(...) Read more
- Normative Ethics Description: Normative Ethics is the study of ethical action that seeks to establish principles and norms that guide human behavior in various(...) Read more
- Negotiated Ethics Description: Negotiated Ethics involves collaborative discussions among stakeholders to establish ethical guidelines for AI. This approach(...) Read more
- Negotiation Ethics Description: Negotiation Ethics focuses on the moral principles that guide negotiations in contexts related to artificial intelligence (AI).(...) Read more
- Non-profit AI Description: Non-Profit AI refers to artificial intelligence initiatives that prioritize social good over profit, raising unique ethical(...) Read more
- Narcissistic Design Description: Narcissistic Design in AI refers to creating systems that prioritize the designer's perspective over the user's needs. This(...) Read more
- Non-technical Stakeholders Description: Non-Technical Stakeholders are individuals or groups affected by artificial intelligence (AI) but lacking a technical background.(...) Read more
- Nadam Description: Nadam is an optimization algorithm that combines the advantages of the Adam optimizer and Nesterov momentum. This approach aims to(...) Read more
- Noise Injection Description: Noise injection is a technique used to improve the robustness of neural networks by adding noise to the input data during training.(...) Read more
- Non-linear Activation Function Description: A nonlinear activation function is a crucial component in neural networks that introduces nonlinearity into the model, allowing it(...) Read more
- Node Feature Description: The node characteristic in TensorFlow refers to the attributes or properties associated with a node within a computational model.(...) Read more
- Neural Network Framework Description: A neural network framework is a set of tools and libraries that allows developers to build, train, and deploy deep learning models(...) Read more
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