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 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…
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…
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.…