Kay Firth-Butterfield
Kay Firth-Butterfield is a lawyer, professor, and author specializing in the intersection of artificial intelligence, international relations, Business and AI ethics. She is the CEO of the Centre for Trustworthy Technology which is a Member of the World Economic Forum's Forth Industrial Revolution Network. Before starting her new position Kay was the head of AI and machine learning at the World Economic Forum. She was an adjunct professor of law at the University of Texas at Austin. In 2024, she was appointed a non-resident fellow with the Future of Work and Innovation Economy initiative at the think-tank New America Foundation.
Quotes
[edit]- Personalized education using AI for kids is going to be a huge game changer.
- On the other hand, such toys raise a host of issues that policymakers are only starting to get a handle on. The privacy implications alone of potentially having a toy — or a succession of them — collect a child's every utterance from the time they can talk until adulthood are tremendous. That is an issue that we really have to solve.
- The technology promises improvements to everything from industrial processes to agriculture to transportation, Firth-Butterfield said. But it also could lead to a raft of challenges and dangers, including massive job losses in a relatively short period of time, the illegitimate denial of goods or services thanks to flawed or biased algorithms, and citizens' loss of control of what was previously personal data.
- It's really important that we know that there are all these different tensions, because without addressing them, we are really left with, I suspect, a failing trust in the technology," she said. "What I certainly don't want to see are all the benefits of AI somehow being lost because we haven't put in the ethical underpinnings to help the public know that we're doing something safe
- It's going to enable us to feed more people
- It's really important" that we make sure that we're "not encoding own prejudices and taking them forward with us, because if do that, we will actually stultify the development of the world.
- We don't have the luxury of a long time to actually even out the effects on job loss with this revolution, because it's happening so quickly.
- AI's running fast, and we need to run as fast with governance mechanisms.
