Maloney asks what categories of AI misuse SpaceX tracks

Thank you, Chair, and thank you, Speaker Menon.

We've spent some time talking about some of the potential misuses of the platform and that you have a safety team and that you're tracking these instances.

But I'd like to dig in more specifically into cases where AI is being misused.

What are some of the categories of misuse that you do track?

We've talked about some of them today.

Unfortunately, the sexualized deepfakes issue.

There are instances of hate speech, including anti-Semitism.

What are some of the other misuses that your team is tracking?

So we have terms of services where we lay out all our policies and what is considered use or misuse of the platform.

Our biggest concern here is making sure that we're catching bad actors that are trying to get around those policies and the safeguards that we have implemented.

So could you be more specific about what the largest categories of misuse are?

We've talked about two so far.

I'd love to hear from the experts, the companies, of what those misuses are that you're seeing.

We engage in rigorous training throughout the model development, including pre-training, post-training, fine-tuning, and adversarial stress testing.

That means we try to make sure that anything that we sort of input into the...

The system, make sure that it's not violating any of our policies.

We have strict policies around a number of things.

For example, for chemical and biological risks, we test with expert evaluations and red teaming before release, and we publish results in our model cards as well.

If you have any specific questions on that, the model cards are very detailed on how

and what risks were, or what our policies are focused on.