A Quote by Kate Crawford

Only by developing a deeper understanding of AI systems as they act in the world can we ensure that this new infrastructure never turns toxic. — © Kate Crawford
Only by developing a deeper understanding of AI systems as they act in the world can we ensure that this new infrastructure never turns toxic.
Beyond helping other people build AI systems with Deeplearning.ai, I also hope to build some AI systems myself!
Scientists need the infrastructure for scientific search to aid their research, and they need it to offer relevancy and ways to separate the wheat from the chaff - the useful from the noise - via AI-enabled algorithms. With AI, such an infrastructure would be able to identify the exact study a scientist needs from the tens of thousands on a topic.
Constantly referring to past wrongdoings can become a substitute for developing a deeper analysis of today's foreign-policy challenges, of understanding what is new and different.
It is important that New York, in addition to its fashion, and finance, and tourism, and communications infrastructure, also begin developing venture infrastructure that's for real.
The only hope for developing a new civilization is to accept responsibility for improving our lives through knowledge, understanding, and a deeper comprehension of humanity’s relationship to natural processes of evolution. Our future is determined by effort we put forth to achieve this transition.
The real problem is not the existential threat of AI. Instead, it is in the development of ethical AI systems.
We don't have the leadership or the understanding of the value of this, and when your political systems and your economic systems start to fail, it's only a cultural understanding that allows you to reconstruct them and to get back to who you are. For some reason, it hasn't dawned on us yet.
If the EPA cannot or will not act to halt the toxic e-waste trade to developing nations, then Congress should take action.
It cannot suffice to invent new machines, new regulations, new institutions. It is necessary to change and improve our understanding of the true purpose of what we are and what we do in the world. Only such a new understanding will allow us to develop new models of behavior, new scales of values and goals, and thereby invest the global regulations, treaties and institutions with a new spirit and meaning.
If you just say that, look at all the good stuff and you don't acknowledge the toxic stuff, you're wrong. If you're only looking at toxic stuff and don't recognize there's going to be some good stuff if you're for infrastructure or whatever, you're wrong.
There's a great phrase, written in the '70s: 'The definition of today's AI is a machine that can make a perfect chess move while the room is on fire.' It really speaks to the limitations of AI. In the next wave of AI research, if we want to make more helpful and useful machines, we've got to bring back the contextual understanding.
The crisis that the world finds itself in as it swings on the hinge of a new millennium is located in something deeper than particular ways of organizing political systems and economies.
A major attack on our cyber systems could shut down our critical infrastructure - financial systems, communications systems, electric grids, power plants, water treatment centers, transportation systems and refineries - that allows us to run our economy and protect the safety of Americans.
I am looking into quite a few ideas in parallel and exploring new AI businesses that I can build. One thing that excites me is finding ways to support the global AI community so that people everywhere can access the knowledge and tools that they need to make AI transformations.
Resilience, timing, adaptation - these are the three pillars upon which the emergent properties of interacting systems rest. When the systems are the economy and the environment, understanding of the relationships among these concepts is crucial. This volume does a better job of explaining how to manage both money and nature to ensure humanity's long-term future than any other work I know of. Read and reflect.
There are two companies that the AI Fund has invested in - Woebot and Landing AI - and the AI Fund has a number of internal teams working on new projects. We usually bring in people as employees, work with them to turn ideas into startups, then have the entrepreneurs go into the startup as founders.
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