AI Literacy is the ability to understand, use, evaluate, and interact with artificial intelligence (AI) technologies effectively, critically, and ethically. Essentially, this literacy isn't about technical skills like coding, but rather understanding how AI works so we can use it wisely in our daily lives without falling into its risks.
The fundamental difference between AI and Machine Learning lies in their scope: AI is the broad concept of machines mimicking human intelligence, while Machine Learning is a specific method within AI that allows machines to learn independently through data. Although often considered the same, understanding that Machine Learning is a subset of AI is crucial to seeing how this technology operates in our daily lives.
Generative AI creates new text and images by predicting data sequences based on statistical patterns learned from millions of human-made examples. Rather than simply copying, this technology uses deep learning algorithms to arrange elements—whether words or pixels—step-by-step into original and coherent works.
The Indonesian government will officially deactivate social media accounts owned by children under the age of 16 starting March 28, 2026, to create a safer digital environment. This policy encourages parents to shift from simply monitoring screen time to redirecting digital activities toward more educational pursuits, such as interactive learning apps and logic development.
The prestigious Biggest Coding, AI & Robotics Competition 2025 organized by Koding Akademi has been successfully held. Securing official status and directly curated by the National Achievement Center (Puspresnas) of Kemendikbudristek, this national-level competition successfully became a platform for students to prove their technological skills, while providing the champions with a valuable asset in the form of a valid certificate to enroll in schools via the achievement path (PPDB) to state universities (SNBP and SNBT).
A Data Science Bootcamp is an accelerated training program lasting 3 to 6 months, specifically designed to equip participants with practical data processing skills such as Python programming, SQL, statistics, and Machine Learning, so they are ready to enter the workforce immediately.
