Zhuang questions companies on data center environment and AI inaccuracy

Councilmember Schwang.

Thank you, Chair.

I have two questions.

The first one, what are you doing to offset the massive impact of data centers on the environment?

The second one, are you tracking how inaccurate statements or decisions by your AI tools are impacting security?

So I'll start by addressing your question on data centers and the environment.

As I mentioned before, OpenAI's data centers that we build, they're called Stargate.

And for each of our data centers, we build them with and for communities.

And the environment and the environmental impacts on communities is part of how we think through our community compacts.

For every data center, we have released a community compact that details our commitments to communities.

And that includes a range of things like paying our own way on energy, as well as commitments to community commitments to work with the local governments.

But I think the key point is the community compacts are driven by local concerns.

And so we want to meet the needs of the community and we work with them to do that.

Council member, in relation to data centers and the impact of the environment, thank you very much for asking that question.

I know it's top of mind for a lot of people.

Our sustainable infrastructure commitments are core to our philosophy around our data centers, including

consumers should not be bearing the costs and paying our own way in relation to electricity.

But I would like to connect you with our data center team so they can provide you with more specifics on that.

How about the one question about how inaccurate statements by your AI tools are impacting security?

Do you guys are tracking those data?

Council member, I think in relation to inaccurate information, AIs can make mistakes.

And I think that's important in terms of acknowledging that AIs can make mistakes.

We disclose this.

We're very transparent in relation to that in terms of our AI offerings.

And I can offer a perspective here that we think, and we've worked very hard this year, to try to improve the world's security because we think models might, if not properly safeguarded,

harm security, specifically the cybersecurity of critical infrastructure or otherwise.

This year we withheld a model to be able to give beneficial access to defenders to have time to patch systems with security vulnerabilities.

And I can say working with training teams and otherwise, we work to make the model better at making sure the code that it writes is more secure, for example.

Thank you so much.