![]() AIs also make factual mistakes and experience hallucinations. I understand why-it raises hard questions about the workforce, the legal system, privacy, bias, and more. This is the priority for my own work related to AI.Īny new technology that’s so disruptive is bound to make people uneasy, and that’s certainly true with artificial intelligence. Governments and philanthropy will need to play a major role in ensuring that it reduces inequity and doesn’t contribute to it. The world needs to make sure that everyone-and not just people who are well-off-benefits from artificial intelligence. In short, I'm excited about the impact that AI will have on issues that the Gates Foundation works on, and the foundation will have much more to say about AI in the coming months. I’m still thinking and learning about how AI can help, but later in this post I’ll suggest a few areas with a lot of potential. The injustice of climate change is that the people who are suffering the most-the world’s poorest-are also the ones who did the least to contribute to the problem. AI can help turn that trend around.Ĭlimate change is another issue where I’m convinced AI can make the world more equitable. But achievement in math is going down across the country, especially for Black, Latino, and low-income students. The evidence shows that having basic math skills sets students up for success, no matter what career they choose. In the United States, the best opportunity for reducing inequity is to improve education, particularly making sure that students succeed at math. I’ve been thinking a lot about how AI can reduce some of the world’s worst inequities. It’s hard to imagine a better use of AIs than saving the lives of children. Nearly all of these children were born in poor countries and die of preventable causes like diarrhea or malaria. That’s down from 10 million two decades ago, but it’s still a shockingly high number. Globally, the worst inequity is in health: 5 million children under the age of 5 die every year. Philanthropy is my full-time job these days, and I’ve been thinking a lot about how-in addition to helping people be more productive-AI can reduce some of the world’s worst inequities. Businesses will distinguish themselves by how well they use it. Entire industries will reorient around it. ![]() It will change the way people work, learn, travel, get health care, and communicate with each other. The development of AI is as fundamental as the creation of the microprocessor, the personal computer, the Internet, and the mobile phone. This inspired me to think about all the things that AI can achieve in the next five to 10 years. I knew I had just seen the most important advance in technology since the graphical user interface. Once it had aced the test, we asked it a non-scientific question: “What do you say to a father with a sick child?” It wrote a thoughtful answer that was probably better than most of us in the room would have given. ![]() We had an outside expert score the test, and GPT got a 5-the highest possible score, and the equivalent to getting an A or A+ in a college-level biology course. Then it wrote outstanding answers to six open-ended questions from the exam. In September, when I met with them again, I watched in awe as they asked GPT, their AI model, 60 multiple-choice questions from the AP Bio exam-and it got 59 of them right. I thought the challenge would keep them busy for two or three years. (I picked AP Bio because the test is more than a simple regurgitation of scientific facts-it asks you to think critically about biology.) If you can do that, I said, then you’ll have made a true breakthrough. Make it capable of answering questions that it hasn’t been specifically trained for. In mid-2022, I was so excited about their work that I gave them a challenge: train an artificial intelligence to pass an Advanced Placement biology exam. I’d been meeting with the team from OpenAI since 2016 and was impressed by their steady progress. The second big surprise came just last year. Charles eventually joined Microsoft, Windows became the backbone of Microsoft, and the thinking we did after that demo helped set the company’s agenda for the next 15 years. I sat with the person who had shown me the demo, a brilliant programmer named Charles Simonyi, and we immediately started brainstorming about all the things we could do with such a user-friendly approach to computing. The first time was in 1980, when I was introduced to a graphical user interface-the forerunner of every modern operating system, including Windows. In my lifetime, I’ve seen two demonstrations of technology that struck me as revolutionary.
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