The Runaway Risks of AGI (FOOM)
Imagine building an intelligent machine that, instead of improving gradually, suddenly takes off, advancing so quickly that humans can no longer control it. That’s the essence of FOOM—a theory around…
Ethical Considerations in AI: Balancing Privacy, Fairness, and Safety
As artificial intelligence (AI) continues to transform industries and everyday life, ethical concerns surrounding its use are growing. From privacy issues in data collection to fairness in automated decision-making, the…
AI Safety: Addressing Risks of Superintelligent AI
AI has taken the world by storm, transforming industries and everyday life. But as we marvel at its potential, there’s a growing concern among experts: What happens when AI becomes…
AI Governance: Understanding the Rules Shaping AI Development | InfoSecured.ai
Picture this: The world’s most powerful technologies, capable of diagnosing diseases, making investment decisions, and even driving your car, all without a human in sight. It’s a future that once…
AI Ethics: Principles Guiding the Safe and Fair Use of AI
As AI systems become increasingly integrated into our daily lives, the need for ethical guidelines and principles has never been more critical. AI ethics refers to a set of principles…
AI Alignment Problem: The High-Stakes Challenge of Guiding AI Systems
As AI systems grow more sophisticated and autonomous, ensuring they act in ways that align with human values and objectives is a critical and complex challenge. This issue, known as…
AGI (Artificial General Intelligence): The Future of Superhuman AI
Imagine an AI that doesn’t just excel in a few specific tasks, like language translation or image recognition, but one that can outperform humans across the board. It learns, adapts,…
Emergent Behavior: When AI Takes an Unexpected Turn
Imagine this: You’ve trained an AI model to recognize images of cats and dogs. Suddenly, without any prompting, it starts distinguishing between different breeds or recognizing objects like toys and…
AI Alignment Part Six: Research and Courses
By now, you’ve got a solid understanding of why AI alignment is so critical, especially in the realm of cybersecurity. But if you’re the type of person who’s always thinking…
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…