Artificial intelligence in communication impacts language and social relationships.

Area of Science:

• Social Sciences
• Human-Computer Interaction
• Communication Studies

Background:

• Artificial intelligence (AI) is increasingly integrated into daily communication tools.
• The societal impact of AI in communication, particularly algorithmic response suggestions, remains under-explored.
• Concerns exist regarding AI's potential negative societal effects.

Purpose of the Study:

• To investigate the social consequences of using algorithmic response suggestions (smart replies) in communication.
• To examine how AI-driven communication tools affect interpersonal interactions and perceptions.
• To understand both the positive and negative social outcomes of AI in messaging.

Main Methods:

• Conducted two randomized experiments to assess the impact of algorithmic response suggestions.
• Analyzed changes in language use, communication speed, and interpersonal evaluations.
• Investigated how suspicion of AI use influences social perceptions.

Main Results:

• Use of algorithmic responses increased communication speed and positive emotional language.
• Conversation partners using AI were perceived as closer and more cooperative.
• Individuals suspected of using AI responses received more negative evaluations.
• AI's pro-social benefits were undermined by negative societal connotations when used overtly.

Conclusions:

• Algorithmic response systems can alter communication dynamics, fostering faster interactions and positive perceptions.
• Despite potential benefits, the stigma associated with AI use can lead to negative social judgments.
• The overt use of AI in communication presents a paradox: it can improve interactions but is perceived negatively.