Call for papers on Artificial Superintelligence: Coordination & Strategy Attention in the AI safety community has recently started to increasingly include strategic considerations of coordination amongst relevant actors within the field of AI and AI safety, in addition to the steadily growing work on technical considerations of building safe AI systems.
The Journal on Big Data And Cognitive Computing has dedicated a Special Issue to Artificial Superintelligence: Coordination & Strategy, edited by Dr. Roman Yampolskiy, University of Louisville, and Allison Duettmann, Foresight Institute.
Submissions for manuscripts are open now, the deadline for submissions is January 31, 2019.
Topics may include, but are not limited to:
AI race scenarios, strategies and barriers for coordination
Analysis of relevant actors, AI strategies and relation amongst actors
Considerations of global AI governance
Game theory of AI coordination
Potential positive outcomes of AI coordination
Historical precedents for coordination strategies
Key factor analysis for realistic coordination scenarios
Effects of AI coordination efforts on other risks
Effects of external developments on AI coordination
Openness vs. closedness in AI research and AI safety research
Centralized vs. decentralized governance systems
Multilateral vs. unilateral AI development and deployment scenarios
Cybersecurity as risk factor in AI safety
Near-term pathways to influence AI policy
Engagement of future relevant stakeholders in AI safety
Framing biases in AI coordination
Forecasting AI progress, obstacles, and dependencies
Regulating AI-based systems: safety standards and certification
Risk-reduction of weaponization of AI
Risk-reduction of AI-based memetic manipulation
Safety guidelines for the AI community
Strategies for targeted outreach to relevant actors
Societal effects of AI: Algorithmic bias and AI discrimination
Dangers and promises of smart contracts for AI safety
Predictions & incentive markets for AI coordination
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