Brian Christian

Understanding how to make machines that can learn and adapt to our preferences is crucial.

From The Alignment Problem

The alignment problem is fundamentally a problem of trust.

From The Alignment Problem

The more complex the system, the more difficult the alignment problem becomes.

From The Alignment Problem

The alignment problem is, in essence, the problem of ensuring that AI systems do what we want them to do.

From The Alignment Problem

As we teach machines our values, we must also learn to question our own.

From The Alignment Problem

Our machines must reflect our best selves, not just our mistakes.

From The Alignment Problem

To build machines that think like humans, we need to understand human thought.

From The Alignment Problem

Machines learn from data, but the data can reflect biases and errors present in society.

From The Alignment Problem

We must design AI systems that are interpretable and transparent to their users.

From The Alignment Problem

As AI evolves, so too must our frameworks for ethics and accountability.

From The Alignment Problem