Value of human knowledge in artificial intelligence & machine learning

Artificial Intelligence (AI) and machine learning (ML) algorithms have expanded rapidly in recent decades. These technologies now pervade daily activities — from navigation and streaming services to web searches — and play a critical role in helping humans tackle complex problems by processing vast datasets.

Understanding AI and ML Fundamentals

To use these tools efficiently and securely, understanding their underlying mechanics matters. AI broadly encompasses models and algorithms designed to solve problems through rational, logical approaches. ML, a subset of AI, enables computers to learn and improve accuracy from data. Both fields rest on foundations of mathematics and computer science.

The Essential Role of Human Knowledge

A critical insight is that the fast and accurate solutions provided by AI and ML come from centuries of human knowledge. Humans design the algorithms and select training data. This domain expertise can reduce required data volumes, enhance accuracy through appropriate mathematical frameworks, and facilitate fault identification and correction.

Human Control and Responsibility

While concerns about automated systems exist, humans retain control over inputs, applications, and interpretation of outputs. Effective and secure technology use requires solid comprehension of what these systems do.

Praxis Security Labs’ Approach

Praxis Security Labs emphasizes combining subject matter expertise with AI and ML tools to analyze user behavior data effectively. By applying human knowledge to algorithms, the company identifies security patterns that strengthen organizational security posture. The key question isn’t whether to use AI/ML, but how to maximize its utility.