Autonomy and Openness in Human and Machine Systems: Participatory Sense-Making and Artificial Minds

Within artificial intelligence (AI) and machine consciousness research, social cognition as a whole is often ignored. When it is addressed, it is often thought of as one application of more traditional forms of cognition. However, while theoretical approaches to AI have been fairly stagnant in recent years, social cognition research has progressed in productive new ways, specifically through enactive approaches. Using participatory sense-making (PSM) as an approach, we rethink conceptions of autonomy and openness in AI and enactivism, shifting the focus away from living systems to allow incorporation of artificial systems into social forms of sense-making. PSM provides an entire level of analysis through an overlooked autonomous system produced via social interaction that can be both measured and modeled in order to instantiate and examine more robust artificial cognitive systems.

• Publication year

  2021

• Venue

  Journal of Artificial Intelligence and Consciousness

• Publication date

  Unknown publication date

• Fields of study

  Philosophy, Computer Science, Psychology

• Identifiers
  DOI 10.1142/s2705078521500181
• External record

  Open on Semantic Scholar

• Source metadata

  Semantic Scholar

• No claims are published for this paper.

• No concepts are published for this paper.

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