The Possibilities of AI [Entire Talk] – Sam Altman (OpenAI)
Sam Altman is the co-founder and CEO of OpenAI, the AI research and deployment company behind ChatGPT and DALL-E. Altman was president of the early-stage startup accelerator Y Combinator from 2014 to 2019. In 2015, he co-founded OpenAI as a nonprofit research lab with the mission to build general-purpose artificial intelligence that benefits all humanity. In this conversation with Stanford adjunct lecturer Ravi Belani, Altman gives advice for aspiring AI entrepreneurs and shares his insights about the opportunities and risks of AI tools and artificial general intelligence.
The race for artificial intelligence – Can Europe compete? | DW Documentary
Artificial intelligence (AI) is transforming industries and society – and a global race has taken off for who will create the most cutting-edge technology.
The outcome could reshape the global balance of powers. At the moment, the United States and China stand as the leading contenders. Europe, meanwhile, finds itself lagging behind. But the continent is eager to catch up, and it has a plan: Officials hope that a strong emphasis on transparency and fairness in AI development will set European AI apart and provide an edge in the years to come.
However, the question remains: Can these European initiatives compete with the vast resources that Big Tech companies pour into AI research? And will the EU’s ethics-first approach to AI become a competitive advantage in the global race for AI – or will it set Europe even further behind?
0:00 The race for AI supremacy 0:51 Using AI to make cities more liveable 4:19 Can AI help cure cancer? 7:49 How the EU plans to govern AI 9:10 Transforming societies with big data 11:02 Will strict AI rules set Europe back? 15:11 Fighting cyber attacks and brain drain with AI 19:46 Europe: Winner or loser in the race for AI?
Artificial Intelligence: Mankind’s Last Invention
Artificial Intelligence: Mankind’s Last Invention – Technological Singularity Explained
Artificial Intelligence Revolution; Unlikely Adventures of David Grann | 60 Minutes Full Episodes
Exploring the human-like side of AI at Google. Then, David Grann: The 60 Minutes Interview.
A New Philosophy on Artificial Intelligence | Kristian Hammond | TEDxNorthwesternU
Kristian is a professor of computer science and journalism at Northwestern University. Previously, Kris founded the University of Chicago’s Artificial Intelligence Laboratory. His research has been primarily focused on artificial intelligence, machine-generated content, and context-driven information systems.
This talk was given at a TEDx event using the TED conference format but independently organized by a local community.
MD vs. Machine: Artificial intelligence in health care
Recent advances in artificial intelligence and machine learning are changing the way doctors practice medicine. Can medical data actually improve health care? At this seminar, Harvard Medical School scientists and physicians will discuss how AI assists doctors in diagnosing disease, determining the best treatments and predicting better outcomes for their patients.
Neuroscience and Artificial Intelligence Need Each Other | Marvin Chun | TEDxKFAS
Big data and fast computing have advanced both neuroscience and artificial intelligence. The use of machine learning to compute vast amounts of brain data allows researchers to start reading out the mind and to predict behavior. In turn, the enormous power and efficiency of brain computing and cognition can inform artificial intelligence. For visual recognition tasks, brain-inspired deep learning algorithms now achieve near human-like performance. The marriage of brain science and machine learning will make both more useful for improving people’s lives. Marvin Chun leads a cognitive neuroscience laboratory that uses brain imaging and machine learning to study how people see, attend, remember, and perform optimally. One line of work uses brain imaging to read out perceptions and thoughts. From brain scans, another project reveals and predicts what makes people different. He received his Ph.D. from MIT and his postdoctoral training at Harvard University. His research has been honored with several early-mid career awards, such as the Troland Research Award from the United States National Academy of Sciences, and the American Psychological Association Distinguished Scientific Award for an Early Career Contribution to Psychology. His undergraduate teaching of Introduction to Psychology, one of the largest classes in Yale College, has been recognized with both the Phi Beta Kappa William Clyde DeVane Medal for Distinguished Scholarship and Teaching, and the Lex Hixon ’63 Prize for Teaching Excellence. This talk was given at a TEDx event using the TED conference format but independently organized by a local community.
Transforming Healthcare 2024: Changing the Practice of Medicine with Artificial Intelligence (AI)
While a recent explosion in AI technology has exposed its possibilities to the public with online systems such as ChatGPT and Dall·E, researchers at the University of Colorado Anschutz Medical Campus have been exploring the rapidly evolving technology for years and are beginning to harness its problem-solving powers to change healthcare.
The University of Colorado Anschutz Medical Campus is a world-class medical destination at the forefront of transformative science, medicine, education and healthcare. The campus encompasses the University of Colorado health professional schools, more than 60 centers and institutes, and two nationally ranked hospitals that conduct more than 2 million adult and pediatric patient visits each year. Innovative, interconnected and highly collaborative, together we deliver life-changing treatments, patient care, professional training, and conduct world-renowned research powered by more than $700 million in annual research awards.
Should we welcome or worry about Artificial Intelligence?
No longer the stuff of science fiction, incredible advances in artificial intelligence or A.I. are now a reality. As the technology develops, we’ll experience more of its impact on our lives.
So what are the benefits – and the risks?
And can regulators keep pace with developers?
Presenter:
Laura Kyle
Guests:
Henry Ajder, generative artificial intelligence and Deepfake technology expert: adviser to Meta and others challenges of AI technologies.
Lilian Edwards, Professor of Law, Innovation and Society at Newcastle University.
AI in Health Care – Promises and Concerns of Artificial Intelligence and Health
One of the most intriguing topics in health care for 2024 is the use of Artificial Intelligence in patient care and throughout the workplace. Two experts from UC Davis Health recently met to discuss where we are headed with the use of AI in health care. CEO David Lubarsky and Chief AI Advisor Dennis Chornenky shed light on the latest trends with AI, the relationship between human intelligence and artificial intelligence, some of the challenges facing the use of AI in health care, and how it can improve healthy equity and outcomes.
David Lubarsky, M.D., M.B.A., F.A.S.A., is the Vice Chancellor of Human Health Sciences and CEO for UC Davis Health, located in Sacramento, California. UC Davis Health is an integrated health system with approximately 17,000 employees, 1,000 students, 1,000 trainees, 1,300 faculty members and a large regional primary care network, providing more than 1.5 million outpatient visits every year with an annual budget of $4.3 billion.
Dennis Chornenky is a former senior advisor and strategy consultant in artificial intelligence (AI) and emerging technology for the White House. In 2023, he was named chief AI advisor to UC Davis Health, where he is leading efforts to establish an AI strategy and governance framework that ensures the UC Davis health system’s approach to AI is safe and ethical. Additionally, he will assure all AI efforts meet emerging regulatory compliance standards.
0:00 Health care and AI introductions 1:00 How is UC Davis Health approaching AI’s role and patient care? 2:30 How can AI personalize health care? 4:44 What does self-service health care look like? 6:21 Regulating AI in health care 10:59 The relationship between artificial and human intelligence 14:59 Generative AI’s role in health care 22:33 Issues and challenges with A.I. in health care 26:18 How AI can improve care and equity 32:30 Privacy preserving technologies for machine learning 35:52 AI and implicit bias 38:13 Final thoughts on AI in health care
