Standardization in AI is crucial to ensure compatibility, reliability, and safety of AI technologies. It allows different AI systems and components to work together seamlessly, facilitates widespread adoption, and ensures that AI technologies meet certain quality and safety standards.

Ethical considerations in AI go beyond fairness and transparency; they also encompass the principle of "Accountability." Ensuring that AI systems are accountable for their actions and their impact on society is a key ethical concern in AI development.

IEEE, the Institute of Electrical and Electronics Engineers, is a widely recognized standardization organization that plays a key role in developing standards for various fields, including AI. They contribute to defining guidelines and best practices for AI technologies.

To account for sarcasm and implicit meanings, it's crucial to incorporate sentiment analysis, context analysis, and emotion detection. These techniques help the NLP model understand the true intent and emotions behind messages, including sarcastic or implicitly expressed sentiments.

The ethical principle of non-maleficence is primarily concerned with ensuring that AI systems do not cause harm to users or stakeholders. It emphasizes the importance of minimizing harm and risks associated with AI technologies, a fundamental aspect of AI ethics.

"Differential privacy" in AI is a technique that focuses on protecting individual privacy when analyzing data. It adds noise or randomness to the data to make it more challenging to identify specific individuals while still extracting valuable insights.

Computer Vision is commonly used in e-commerce for visual search. It enables machines to understand and interpret visual data, which is crucial for tasks like product recognition, image search, and recommendation systems in online shopping.

Encryption of data is a commonly used technique to protect sensitive information in AI models. It involves encoding the data in a way that can only be deciphered with the appropriate decryption key, ensuring that even if the data is accessed, it remains unreadable to unauthorized parties.

Chatbots play a crucial role in online retail by providing customer support. They can answer common customer queries, assist with product inquiries, and even help with the purchasing process, thereby improving customer service and reducing workload for human support agents.

The concept of "justice" is crucial in developing ethical AI models as it pertains to addressing bias, fairness, and equitable outcomes. Ethical AI should strive to avoid discrimination and ensure just treatment for all individuals and groups, making justice a central consideration in AI ethics.