AI Alignment 

Al alignment is a process of routing AI systems toward human preferences, goals, or principles. AI alignment is the area of science that studies different ways to align artificial intelligence with human plans. And stop it from going out of control. The primary purpose of AI alignment is to create human-friendly and robust artificial intelligence.

This so far example of AI is ChatGPT. It is now accessible to everyone and can process millions of data or information within seconds and help everybody to learn from it. Apart from this, it also provides codes, essays, and more. It is capable of generating speech with the help of natural language processing.

The AI system is considered aligned if it advances the intended objectives. Whereas miss-aligned AI systems can cause harm since it will help them find loopholes that will allow them to achieve their proxy goals but in a harmful way. Suppose for example, hacking.

AI alignment is a subfield of AI security that studies how to build safe AI systems. Apart from this, there are other subfields of AI, such as monitoring, capability control, and more. With good artificial intelligence alignment, many fields could benefit from healthcare that improves the diagnosis and treatment process to develop national security and defense AI systems. However, creating an AI should be done in a way that does not affect our values and goals as a society.

Goals that need to be addressed while developing Artificial Intelligence Alignment:
Creating precise value alignment between humans and AI systems to avoid significant risks.

• They ensure that the artificial intelligence systems are safe. It should be designed so that humans can correct them in case of any mistake.
• There should be a guarantee that we can ascertain people’s objectives as intelligence systems become more advanced than human brain.