What if I told a story here, how would that story start?" Thus, the summarization prompt: "My second grader asked me what this passage means: …" When a given prompt isn't working and GPT-3 keeps pivoting into other modes of completion, that may mean that one hasn't constrained it enough by imitating a correct output, and one needs to go further; writing the first few words or sentence of the target output may be necessary.
Carnegie Mellon University has shaped artificial intelligence (AI) from the field's very beginning. Today, researchers from all seven colleges across CMU continue to define AI as the next frontier in human progress and are working to help solve problems in areas from healthcare to education. Because of the interdisciplinary campus culture, CMU is a place where women are thriving in the field of AI, even though they are underrepresented in science, technology, engineering and math (STEM) across the globe. CMU's women in AI -- from undergraduate students to distinguished faculty members -- discuss their research, its impact and their future in the world of AI.
"Please think forward to the year 2030. Analysts expect that people will become even more dependent on networked artificial intelligence (AI) in complex digital systems. Some say we will continue on the historic arc of augmenting our lives with mostly positive results as we widely implement these networked tools. Some say our increasing dependence on these AI and related systems is likely to lead to widespread difficulties. Our question: By 2030, do you think it is most likely that advancing AI and related technology systems will enhance human capacities and empower them? That is, most of the time, will most people be better off than they are today? Or is it most likely that advancing AI and related technology systems will lessen human autonomy and agency to such an extent that most people will not be better off than the way things are today? Please explain why you chose the answer you did and sketch out a vision of how the human-machine/AI collaboration will function in 2030.
MOUNTAIN VIEW, CA – Across every industry, whether it is manufacturing, healthcare, financial services, and more, companies and organizations of all sizes are realizing that AI has the ability to generate amazing value, transform processes, and uncover insights for smarter decisionmaking. But behind the algorithms that are empowering the use cases are the data scientists who drive the models and analyze the insights. According to a report from IBM, Burning Glass and Business Higher Education Forum, the number of job openings for data and analytics talent will increase by 364,000 to 2,720,000 in 2020. Millions of staff will be needed to fuel the ever-growing demand for AI and machine learning. As a result, there's a growing gap between the supply and demand of AI talent, a gap which has resulted in increasingly higher salaries for those in the field.
Artificial intelligence may be one of the technology world's current obsessions, but many people find it scary, envisioning robots taking over the world. Two top experts in the field-- Andrew Ng, a Stanford University adjunct professor and former AI scientist at Alphabet Inc.'s Google and Chinese internet giant Baidu Inc., and Tong Zhang, executive director of the AI Lab at Tencent Holdings Ltd. --sat down with The Wall Street Journal's global technology editor, Jason Dean, to explain why they believe the opportunities associated with this technology far outweigh the bad. The title of this panel refers to "the singularity," or the idea that artificial intelligence will become so powerful that robots will take over. Andrew, I know you're skeptical of that. What should we be worried about with AI and where are the biggest opportunities?
From his bio: Vivek Wadhwa is a Distinguished Fellow at Carnegie Mellon University's College of Engineering and a Director of Research at Duke University's Pratt School of Engineering. He is a globally syndicated columnist for The Washington Post and author of The Immigrant Exodus: Why America Is Losing the Global Race to Capture Entrepreneurial Talent, which was named by The Economist as a Book of the Year of 2012, and of Innovating Women: The Changing Face of Technology, which documents the struggles and triumphs of women. Wadhwa has held appointments at Stanford Law School, Harvard Law School, and Emory University and is a faculty member at Singularity University. About Singularity University: Singularity University is a benefit corporation headquartered at NASA's research campus in Silicon Valley. We provide educational programs, innovative partnerships and a startup accelerator to help individuals, businesses, institutions, investors, NGOs and governments understand cutting-edge technologies, and how to utilize these technologies to positively impact billions of people.
The Leverhulme Centre for the Future of Intelligence (CFI) invites applications for a postdoctoral Research Associate for the project'Policy, Responsible Innovation and the Future of AI'. The appointment will be for 3 years, and is based in Cambridge. CFI is an exciting new interdisciplinary research centre addressing the challenges and opportunities posed by artificial intelligence (AI). Funded by the Leverhulme Trust, CFI is based at the University of Cambridge, with partners in the University of Oxford, Imperial College, and UC Berkeley, and close links with industry partners and policymakers. This project examines the prospects for a robust safety and benefits culture within the AI industry, in anticipation of the development of increasingly powerful AI systems that will present ever-greater real-world opportunities and challenges.
John Charles Thomas was born in Akron, Ohio and attended Ellet High School. He graduated from Case Western Reserve University majoring in psychology and minoring in mathematics and drama. He received a Ph.D. in experimental psychology from the University of Michigan. His dissertation compared human performance in a problem solving task to that of an early AI system called "The General Problem Solver." After graduate school, Dr. Thomas managed a research project on the psychology of aging at Harvard Medical School.
Dr George Beaton is a partner in beaton and a senior fellow in Melbourne Law School, Australia. His published works include NewLaw New Rules – A Conversation About the Future of the Legal Services Industry (2013) and Remaking Law Firms: Why & How (2016). You have been a pioneer in research into NewLaw, what place does technology have in NewLaw? Is it central to its development? Just 18 months ago when I wrote Fresh thinking on the evolving BigLaw–NewLaw taxonomy little mention was made of the role of technology in NewLaw or BigLaw business model firms.