Weblog(Blog Post)

Why autonomous AI needs robust governance models As autonomous artificial intelligence systems become increasingly integrated into critical aspects of society—from healthcare and finance to transportation and communication—the need for effective governance has never been more urgent. Autonomous AI, capable of making decisions without human intervention, presents unprecedented opportunities but also significant risks. Without robust governance … Read more

Character.ai implements age restrictions to protect teens in AI chatbot interactions As AI chatbots become more sophisticated and widely used, concerns about the safety and well-being of younger users have intensified. Character.ai, a popular platform offering AI-driven conversations with diverse fictional and real characters, recently introduced age restrictions designed to safeguard teenagers during their interactions. … Read more

AI governance frameworks play a critical role in the safe and ethical deployment of agentic AI systems—those capable of autonomous decision-making and actions. As AI technologies become increasingly sophisticated, their potential impact on society, economy, and security grows significantly. Without comprehensive governance, risks such as unintended biases, ethical violations, privacy breaches, and loss of human … Read more

What is vibe coding? In recent years, software development has continually evolved with new methodologies and cultural practices aimed at making coding more intuitive, efficient, and collaborative. One emerging concept gaining attention is vibe coding. But what exactly does vibe coding mean? Simply put, vibe coding is about harnessing the overall atmosphere, energy, and emotional … Read more

Understanding Chain-of-Thought (CoT) is essential in the field of artificial intelligence and natural language processing. This concept has gained significant traction for its ability to improve reasoning and problem-solving in AI models, especially large language models. At its core, Chain-of-Thought involves guiding AI to generate intermediate reasoning steps before producing a final answer, much like … Read more

Introduction As autonomous artificial intelligence (AI) systems become increasingly integrated into various aspects of our lives—from healthcare and transportation to finance and governance—questions about their ethical implications are more critical than ever. Autonomous AI possesses the capability to make decisions without human intervention, raising concerns about accountability, transparency, and moral responsibility. Navigating the ethical landscape … Read more

Few-shot prompting and in-context learning are cutting-edge techniques powering much of today’s advancements in natural language processing. These methods allow large language models to understand and perform new tasks by seeing just a few examples, without needing to be explicitly retrained. This remarkable ability enables more flexible, efficient, and user-friendly AI systems that can quickly … Read more

Agentic AI explained: what it means for businesses and society As artificial intelligence (AI) technologies evolve, a new concept is gaining prominence: agentic AI. Unlike traditional AI systems that primarily respond to commands or perform narrow tasks, agentic AI refers to AI that can set its own goals, make decisions independently, and proactively interact with … Read more

Zero-shot prompting has rapidly become a key concept in the realm of artificial intelligence, particularly in natural language processing. At its core, zero-shot prompting allows AI models to perform tasks they were never explicitly trained on, simply based on the instructions or queries they receive. This approach contrasts with traditional methods that often require extensive … Read more

Building trust in agentic AI through effective governance is rapidly becoming a critical area of focus as AI systems gain autonomy in decision-making across various sectors. Agentic AI refers to artificial intelligence systems capable of autonomous goal-directed behavior, acting with a degree of independence that challenges traditional oversight models. While the potential benefits—from healthcare to … Read more