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  • AI (Artificial Intelligence): Technology that enables machines to mimic human cognitive functions, including learning, problem-solving, and communication.

  • HMC (Human–Machine Communication): The field of study exploring interactions between humans and AI technologies, focusing on communication dynamics and implications.

  • Conversational Agents: AI-enabled programs designed to engage in natural language conversations with humans, often used for tasks like virtual assistants or chatbots.

  • Ethical Implications: Moral considerations and dilemmas arising from the use of AI technologies in communication, including issues of transparency, accountability, and societal impact.

  • Gender Markers: Attributes or cues within AI technologies, such as voice modulation or persona design, that suggest gender and influence user perception and interaction.

  • Socio-technical Systems: Integrated systems comprising both social and technical elements, such as algorithms and AI-enabled communicative technologies.

  • Transparency: The degree to which AI systems disclose their nature, intentions, and processes to users, particularly relevant in ethical discussions surrounding AI communication.

  • Accountability: The responsibility of AI systems and their creators for their actions and impact on users and society, essential for addressing ethical concerns.

  • Communication Norms: Established patterns of behavior and expectations governing human interaction, challenged by the integration of AI as communicators.

  • Human Identity: The conception individuals have of themselves, influenced by interactions with AI technologies and their role in shaping societal frameworks.

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