Gutierrez challenges companies on individual user safety
Councilmember Jennifer Gutierrez says companies claim safety is foremost but she doesn't feel it, and asks how they ensure individual user safety during breaches and surveillance. Dwyer, Cahill, Friend, and Graham describe layered safeguards, trust and safety teams, and personal examples.
Thank you all.
I just wanted to ask on a number of questions of issues that were raised today.
I feel that every single person on this panel has said safety is of the utmost importance, but I don't believe, I don't feel that.
I don't feel that in the responses it feels
too nuanced, and I would like to understand specifically, in all cases, as much as you can share, how are you directly ensuring safety of individual
users when there's a data breach, when there's issues of surveillance?
To my colleague, Councilmember Shahana Hanif's questions about AI and violence, what is specifically that you can tell to New Yorkers here, that New Yorkers that have signed up to testify, what is the specific safety that you are ensuring?
Make me believe that it is of the utmost importance to you all.
That's my one question.
Yeah, thank you for that question.
So safety is a top priority at OpenAI.
We build our models to be safe throughout the entire development and deployment process.
That includes removing unsafe data from training.
It includes training the models to behave safely and evaluating them to be safely, to behave safely across a range of risks from cyber to bio to child safety.
And then we monitor our safeguards for any potential misuse, and we enforce on our usage policies.
But to your specific question of what I am personally doing, I am not on the safety team.
I lead our policy team.
And I'm also a longtime public servant, and I share your concerns about safety.
And I think there's an important role for governments to play.
And that's why I am proud that my team is working with governments to support regulations, both at the state level and at the federal level, because we have strong safety practices, but we should also be held accountable for them.
Council member, thank you very much for this question and an overall thank you for deepening the conversation on this and other important topics.
I would just reiterate that Meta is committed to developing and deploying our AI offerings safely.
That is across the board, both in terms of our models and also our systems and then our usage policies.
So we cover the entire spectrum in terms of our AI offerings.
Ma'am, at Google, we have been committed to not just the safety of our users, but the safety and security of the open web itself for over a quarter of a century now.
Through our own experiences in our search platform, through everyday tools that users rely on like Gmail, like YouTube, security and safety is incredibly important to us.
Because quite frankly, if people did not trust our platforms and our tools, they would not use them and we would be out of business.
So for us, safety is a critical business imperative.
It's also an imperative as part of being interested and committed to an internet where people can get information that is useful to them, that can help them live better lives.
And finally, we invest in the safety of our tools so that we can deploy them to solve some of the world's biggest challenges.
Everything from...
Natural disasters, warning people ahead of time about floods and fires, to breakthroughs in diseases, to unlocking 200 million
all of the world's known proteins so that we can someday cure all disease.
To us, safety is just a part of this broader mission to use technology and to use AI in particular to make people's lives better.
And if I can share a personal example of this, I joined Anthropic when we fit around two lunch tables.
And the reason I did was because these were the people that I saw were taking it most seriously, that the most important component of getting this technology right was making it safe.
And I can say that, but let me demonstrate it.
From its outset, we are a public benefit corporation legally.
So we are legally obligated to weigh the mission of Safe AI, not just profit.
And at every step of the way, frequently at meaningful cost to ourselves, we have pioneered or tried to pioneer the science of safety.
Everything from training itself, the fundamental research came from us, the evaluations, the pre-deployment testing regime, the monitoring and control.
And just this year, withholding our most frontier model at the time at great cost in order to deploy with defenders to ensure the world is safe.
This is literally our DNA.
This is why I'm here.
This is why my team and I wake up every morning.
And I could tell you for a long time about all the other parts of the stack, but I hope that resonates.