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Glossary:

  • Conversational AI: A branch of artificial intelligence (AI) focused on enabling natural language communication between humans and machines, often through technologies like Natural Language Processing (NLP) and chatbots.

  • Conversational Agent (CA): An AI system designed to interact with users in natural language, providing assistance, information, or performing tasks through text or speech-based communication.

  • Human Autonomy: The capacity of individuals to exert control and make decisions independently, without undue influence or coercion from external sources, including intelligent agents.

  • Ethical Considerations: Moral principles and values that guide responsible decision-making and behavior in the design, development, and deployment of AI systems, including Conversational Agents.

  • User Experience (UX): The overall experience of a person interacting with a product or service, including ease of use, efficiency, and satisfaction, often influenced by the design and functionality of Conversational Agents.

  • Anthropomorphism: The attribution of human-like characteristics, behavior, or intentions to non-human entities, such as Conversational Agents, often influencing user perceptions and interactions.

  • Gender Representation: The portrayal of gender identities and roles in AI systems, including Conversational Agents, raising ethical questions about gender bias and stereotypes.

  • Long-term Risks: Potential negative consequences associated with the extended use of Conversational Agents, including alterations in human language and behavior patterns, susceptibility to biases, and societal impacts.

  • User-centric Design: An approach to designing AI systems that prioritizes user needs, preferences, and experiences


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