AI Definitions

What is ‘Agentic’? Understanding the Core of Autonomy in AI – InfoSecured.ai

Another Buzz Word? New terms and concepts seem to pop up almost daily in the world of artificial intelligence (AI). One term that has been gaining traction is “agentic.” But what does it really mean? Why should you care? And how does it fit into the grander scheme of AI tools and their potential? Let’s […]

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Visual representation of Reinforcement Learning from Human Feedback (RLHF), showing a human personal trainer guiding an AI humanoid by providing feedback to align it with human preferences.

Reinforcement Learning from Human Feedback (RLHF): Aligning AI with Human Values | InfoSecured.ai

Reinforcement Learning from Human Feedback (RLHF) is a transformative approach that combines reinforcement learning (RL) with direct human feedback to shape AI behavior. While traditional RL relies on predefined reward functions to guide an agent’s learning process, RLHF enhances this by incorporating human preferences, ensuring the agent’s actions align with human values and ethical standards.

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Visual representation of AI alignment, depicting an AI robot walking a tightrope while humans watch in hopes of seeing desired outcomes. The illustration emphasizes the importance of aligning AI behavior with human values and ethics.

AI Alignment: Ensuring AI Acts in Accordance with Human Values | InfoSecured.ai

In the rapidly evolving landscape of artificial intelligence (AI), the concept of alignment plays a pivotal role in ensuring that AI systems act in accordance with human values and expectations. At its core, alignment refers to the process of adjusting AI models to produce outcomes that are not only effective but also ethical and beneficial

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Visual representation of anthropomorphism in AI, showing a chatbot designed with human-like traits engaging with a user in a natural conversation.

Anthropomorphism in AI: Why We Attribute Human Traits to Chatbots | InfoSecured.ai

Humans have a tendency to attribute human-like qualities to non-human entities, a psychological phenomenon known as anthropomorphism. This becomes particularly relevant in the age of artificial intelligence, where interactions with AI chatbots, voice assistants, and other automated systems often blur the lines between human and machine. Anthropomorphism plays a significant role in shaping how users

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Visual representation of AI-powered autonomous agents in action, highlighting their role in diamond mines as fully automated systems doing human work.

Autonomous Agents: AI Models Capable of Accomplishing Tasks Autonomously

Artificial Intelligence (AI) has evolved significantly, and one of its most profound advancements is the development of autonomous agents. These AI models are designed to complete specific tasks without human intervention, relying on advanced algorithms and real-time data processing. From self-driving cars to robotic process automation in industries, autonomous agents are reshaping the landscape of

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Bias in AI: How Large Language Models Propagate Stereotypes and How to Fix It | InfoSecured.ai

The rapid evolution of artificial intelligence (AI) technologies, particularly large language models (LLMs), has brought significant benefits to various industries, from healthcare to customer service. However, as these models become more integrated into daily life, a critical issue has surfaced: bias. LLMs, which are trained on massive datasets scraped from the internet, can unintentionally propagate

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Cognitive Computing: Another Term for Artificial Intelligence?

When discussing advanced technologies like Artificial Intelligence (AI) and Cognitive Computing, it’s easy to conflate the two terms. While they share similarities, these concepts have distinct objectives and approaches, creating important differences in how they are applied in industries like healthcare, finance, and customer service. This article will explore the differences and overlaps between AI

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