What does AI hold for the future? Just follow this map

The development of artificial intelligence and its potential impact on humanity’s future can be explored through a new interactive flowchart tool that allows users to visualize different AI development scenarios and their probabilities.

Project Overview: The “Map of AI Futures” is an interactive flowchart tool designed to help users explore various scenarios regarding how artificial intelligence might develop and impact humanity.

• The tool uses a system of nodes and conditional probabilities to map out potential AI development paths and outcomes
• Users can adjust probability sliders to see how different assumptions affect the likelihood of various scenarios
• Outcomes are categorized into three main types: good (green), ambiguous (yellow), and existentially bad (red)

Key Features and Functionality: The interactive map provides several ways for users to engage with and analyze different AI future scenarios.

• White nodes represent questions, grey nodes show intermediate states, and colored nodes indicate different types of outcomes
• Real-time updates display probability calculations as users adjust conditional probability sliders
• Users can customize the visibility of different paths based on their probability
• Node-clicking functionality allows users to explore specific scenarios by setting different starting points

Technical Implementation: The tool offers various customization options and sharing capabilities to facilitate discussion and analysis.

• Results can be shared either through outcome chart images or via personalized URLs containing user estimates
• The codebase is open source and available on GitHub for cloning and modification
• The flowchart structure can be modified by updating strings in the “graph.js” file without coding experience

Development Context: The project acknowledges the complexity and uncertainty inherent in predicting AI futures while providing a structured framework for exploration.

• The tool is designed as a conversation starter and reflection aid rather than a definitive forecast
• All probability calculations are presented as speculative and should be considered with appropriate skepticism
• The project creator acknowledges potential flaws and encourages user feedback through a dedicated form

Future Development Potential: While currently in a stable release state, several planned features remain under consideration for future implementation.

• Comparison functionality for different users’ estimates
• Global aggregate forecasting capabilities
• Additional documentation with further reading links
• Mobile-friendly interface optimization
• Expanded nodes covering multi-agent scenario risks

Critical Perspective: While this tool provides a valuable framework for discussing AI futures, its effectiveness ultimately depends on the quality of user inputs and assumptions about complex technological developments that remain highly uncertain.

• The tool’s value lies more in facilitating structured discussions about AI futures rather than generating precise predictions
• Its open-source nature allows for community-driven improvements and adaptations
• The simplified flowchart format necessarily reduces complex technological and societal dynamics to discrete pathways