Think MCP Server
Think MCP Server provides a structured reasoning tool for agentic AI workflows, enabling explicit thought logging, policy compliance, sequential decision-making...
4 min read
AI
MCP
+6
Transparency
AI Ethics
Explore AI ethics guidelines: principles and frameworks ensuring the ethical development, deployment, and use of AI technologies. Learn about fairness, transpar...
6 min read
AI
Ethics
+5
AI Oversight Bodies
AI Oversight Bodies are organizations tasked with monitoring, evaluating, and regulating AI development and deployment, ensuring responsible, ethical, and trans...
5 min read
AI Governance
Ethics
+3
AI Regulatory Frameworks
AI regulatory frameworks are structured guidelines and legal measures designed to govern the development, deployment, and use of artificial intelligence technol...
6 min read
AI
Regulation
+6
AI Transparency
AI transparency is the practice of making the workings and decision-making processes of artificial intelligence systems comprehensible to stakeholders. Learn it...
5 min read
AI
Transparency
+3
Algorithmic Transparency
Algorithmic transparency refers to the clarity and openness regarding the inner workings and decision-making processes of algorithms. It's crucial in AI and mac...
6 min read
AI
Transparency
+3
Benchmarking
Benchmarking of AI models is the systematic evaluation and comparison of artificial intelligence models using standardized datasets, tasks, and performance metr...
10 min read
AI
Benchmarking
+4
Chatbots under the European AI Act
Discover how the European AI Act impacts chatbots, detailing risk classifications, compliance requirements, deadlines, and the penalties for non-compliance to e...
10 min read
AI Act
Chatbots
+5
Compliance Reporting
Compliance reporting is a structured and systematic process that enables organizations to document and present evidence of their adherence to internal policies,...
4 min read
Compliance
Reporting
+4
Explainability
AI Explainability refers to the ability to understand and interpret the decisions and predictions made by artificial intelligence systems. As AI models become m...
5 min read
AI
Explainability
+5
Model Interpretability
Model interpretability refers to the ability to understand, explain, and trust the predictions and decisions made by machine learning models. It is critical in ...
7 min read
Model Interpretability
AI
+4
Multi-source AI Answer Generator
Discover FlowHunt's Multi-source AI Answer Generator—a powerful tool for accessing real-time, credible information from multiple forums and databases. Ideal for...
2 min read
AI
Question Answering
+4
RIG Wikipedia Assistant Chatbot (Retrieval Interleaved Generator)
Discover the RIG Wikipedia Assistant, a tool designed for precise information retrieval from Wikipedia. Ideal for research and content creation, it provides wel...
1 min read
AI
Wikipedia
+5
Transparency in AI
Transparency in Artificial Intelligence (AI) refers to the openness and clarity with which AI systems operate, including their decision-making processes, algori...
5 min read
AI
Transparency
+4
XAI (Explainable AI)
Explainable AI (XAI) is a suite of methods and processes designed to make the outputs of AI models understandable to humans, fostering transparency, interpretab...
6 min read
AI
Explainability
+4