AIForest

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AIForest is an interactive game and research environment designed to study human-AI decision-making. It helps understand AI trust dynamics and the explainability of AI systems.

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At a glance

Pricing

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Free tier

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API

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Skill level

Technical

About

What is AIForest?

AIForest is an interactive game and research environment focused on understanding human-AI decision-making processes and the explainability of AI systems. Users navigate a virtual environment, classifying objects with an AI-powered application. This interaction generates valuable data on how humans perceive and trust AI, providing insights into the dynamics of AI explainability. The platform serves as a unique tool for research in the field of human-AI interaction.

Best used for

Studying human-AI decision-making processes and the explainability of AI systems through interactive gameplay and data generation.

Common actions

Study human-AI interaction

Research AI explainability

Analyze AI trust

Generate research data

Understand decision-making

interactive gameHealthcareFinanceentertaininghuman-ai decision-makingEducationalenvironmental monitoringresearch environmentai explainability

Capabilities

Key features

Interactive game environment
Studies human-AI decisions
Analyzes AI explainability
Generates AI trust data
Virtual object classification

Target Audience

ResearchersAcademicsAI ethicistsCognitive scientists

Integrations

Not yet documented

Pricing & Plans

unknown

Not publicly disclosed. Check https://aiforest.app for current pricing.

FAQs

What kind of data does AIForest collect regarding human-AI interaction?

AIForest collects data on user decisions, AI classifications, user trust levels in the AI, and how users interact with AI explanations. This data helps researchers understand the dynamics of human perception and trust in AI systems within a controlled environment.

Can AIForest be customized for different research questions or AI models?

As a research environment, AIForest is designed to be adaptable. While specific customization options aren't detailed, its focus on generating trust data suggests flexibility for researchers to define scenarios or integrate different AI classification models to study varying human-AI dynamics.

Is AIForest suitable for educational purposes, such as teaching AI explainability?

AIForest's interactive game environment makes it a strong candidate for educational use. It can provide students with a hands-on experience in observing and analyzing human-AI decision-making, making complex concepts like AI explainability more tangible and understandable.

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Wellness & Lifestyle › Gaming & Entertainment AI Agents & Automation › AI Frameworks & Infra

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