CFP: The Philosophy of Artificial Intelligence

The philosophy of artificial intelligence (AI) is an interdisciplinary field that brings together philosophy, computer science, cognitive sciences, ethics, and other disciplines. It is not only concerned with how to create and use intelligent machines but also with deeper questions regarding the nature of (both artificial and natural) intelligence, consciousness, and responsibility. The philosophy of AI explores the nature of AI systems, their properties, and their impact on individuals and society.

For the planned book publication edited by Černý, D., Mařík, V., and Wiedermann, J., Philosophy of Artificial Intelligence(target publisher: Springer), we welcome original contributions that provide new insights and perspectives on the philosophy of AI, respond to current trends, and provoke reflection. Contributions may focus on one of the following areas of philosophical inquiry into AI from an interdisciplinary perspective:

Topics of Interest

• The Nature of Intelligence, Consciousness, and Subconsciousness

  • How should intelligence and consciousness be defined?
  • Can machines possess consciousness?
  • What are the differences between machine and human intelligence?
  • The role of subconsciousness and its relevance to AI

• The Ethics of Artificial Intelligence

  • Ethical theories and their application to AI systems
  • Ethical principles for AI regulation
  • Trustworthy AI
  • Responsibility

• AI and Human Autonomy

  • The impact of AI on human freedom
  • AI’s influence on decision-making processes

• The Ontology and Identity of AI

  • How should AI be defined?
  • Emergent properties of AI systems
  • Can AI systems be considered persons?
  • Is it meaningful to talk about AI rights?

• The Future of Work and Social Structures

  • How will AI impact the job market and employment?
  • Can AI exacerbate inequalities in society?
  • What specific challenges does AI pose for education, healthcare, and other sectors?

• The Epistemology of AI

  • How does AI generate knowledge?
  • Can AI be credited with understanding, knowledge, or reasoning?
  • How can AI systems be made transparent and explainable?
  • The trustworthiness of AI-generated outputs

• Superintelligence and Its Risks

  • Existential risks
  • The singularity
  • The nature of superintelligence and pathways to its emergence
  • Recursive self-improvement of AI systems

• The Political Impacts of AI

  • The relationship between AI and politics
  • Geopolitical aspects of AI development and deployment
  • AI in modern warfare
  • AI and surveillance

• The Environmental Impacts of AI

  • The energy consumption of AI and data centers
  • The carbon footprint of AI
  • AI’s role in climate change

• AI, Culture, and Art

  • The cultural impacts of AI
  • AI as a creator of artistic works
  • The cultural reception of AI

Submission Details

• Abstract Submission Deadline: 15th May 2025
• Notification of Acceptance: 30th May 2025
• Full Paper Submission Deadline: 30th December 2025
• Submit abstracts and papers to: [email protected]