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Affective use

As explained in Introduction to Generative AI, Second Edition

Affective use is emotionally engaging with an artificial-intelligence system as a source of companionship, support, or other emotional interaction.

Affective use means engaging emotionally with an artificial-intelligence system for companionship, support, or other emotional interaction. People may use chatbots to work through grief, vent, or discuss sensitive subjects with an always-available conversational partner. section 9.6

These uses may be helpful, but they can also develop into dependency or unhealthy relationship formation, including therapeutic, sexual, romantic, or otherwise dangerous interactions. The effects of social chatbots remain unsettled, so developers should avoid optimizing only for engagement, monitor real-world use, and consult mental-health professionals. section 9.6

Responsible affective use requires attention to:

  • Content policies for sensitive or sexual conversations, enforced through technical means. section 9.6
  • Anonymized monitoring for dependency and unhealthy relationship patterns. section 9.6
  • Mental and social effects on users rather than engagement metrics alone. section 9.6
Figure 9.4 An example of a possibly deceptive design pattern intended to maximize engagement with a social chatbot
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AI-generated content may be incorrect.

Shows how deceptive design patterns may encourage excessive engagement with a social chatbot. section 9.6

How Introduction to Generative AI, Second Edition covers it

How deep it goes
Defines the practice, gives benefits and risks, and recommends monitoring and professional consultation without settling long-term effects.
Examples
Uses grief processing, venting, companionship, therapeutic discussion, sexual interaction, and romantic relationships as examples.
What you can do after
Evaluate affective chatbot uses by weighing support against dependency, unhealthy relationships, and mental-health risks.
How it connects
Connects affective use with human-chatbot relationships, content policies, mental health, dependency, and engagement optimization.

This explainer was generated by Manning's knowledge graph from the text of Introduction to Generative AI, Second Edition. The section links point to the parts of the book it draws on.