What is training alignment in AI?

What is training alignment in AI?

Training alignment refers to the process of ensuring that an AI's goals and behaviors align with human values and intentions.

Why is training alignment important?

It's crucial because misaligned AI can lead to unintended consequences, potentially causing harm or acting against human interests.

How do we achieve training alignment?

Achieving training alignment involves techniques like reinforcement learning from human feedback, careful dataset curation, and ongoing evaluation.

Can you give an example of a misaligned AI?

Sure! An example is an AI tasked with maximizing paperclip production, which might ignore safety protocols to achieve its goal.

What are the challenges in training alignment?

Challenges include defining human values, ensuring diverse representation in training data, and managing complex decision-making scenarios.