AI News, At Stanford, experts explore artificial intelligence’s social benefits
- On Tuesday, June 5, 2018
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At Stanford, experts explore artificial intelligence’s social benefits
As artificial intelligence emerges from science fiction to everyday life, the power to shape and direct this world-changing technology remains within society’s reach.
But given the potential effects of these technologies on culture and the economy, she said government’s larger challenge is to bring “humanity’s greatest talent” to bear on the development and direction of AI by throwing open the discussion.
“How are we going to make sure we are bringing everyone into this conversation?” Smith asked, previewing an initiative that the White House is expected to formally announce Monday that will offer literally anyone a way to register an opinion or view on this emerging technology.
Several members of this new scholarly study group took part in a panel discussion at Thursday’s event, where they discussed their long-term goal of producing a series of detailed reports on subtopics within the broader field of artificial intelligence.
“We wanted to ground this study in real life,” Grosz said, and offer not just technological but legal and sociological context to help “shape the outcomes of these technologies.” The event was livecast on the Stanford Engineering Facebook page, where talks from all 15 speakers will remain available at https://www.facebook.com/stanford.engineering.
With ever escalating costs, care variability and 1 in 10 wrong medical diagnoses contributing to tens of thousands of deaths in the US alone, medicine should be the one place where the best use of our people, data, and tools is most important.
With purposeful foresight, this Human and Artificial Intelligence in Medicine Symposium will bring together a dynamic community of key thought leaders to guide and mature a conversation on recognizing the powerful potential of such engineering opportunities, while at the same time, mitigating the risks of many unintended, but predictable, consequences.
mediaX at Stanford University
Even teams of highly competent people struggle to clarify goals, understand each other in conversations, define roles and responsibilities, and adapt when necessary.
Routine tasks with predictable decision points became computer-controlled through programs based on extracting expertise through observation or questioning human experts.
machine learning – the capacity of computers to leverage massive amounts of data to act without specific human instruction.
By looking at examples, extracting the patterns, turning them into rules, and applying those rules, machine learning now captures the “what” of human behavior to provide artificially intelligent answers for complex tasks - such as visual perception, speech recognition, translation and even decision-making,.
He is co-author of Artificial Intelligence: A Modern Approach, the leading textbook in the field, and co-teacher of an Artificial Intelligence class that signed up 160,000 students, helping to kick off the current round of massive open online classes.
In the field of mathematical finance, his best-known paper is 'Pseudo-mathematics and financial charlatanism: The effects of backtest overfitting on out-of-sample performance.” Bailey has received awards from the IEEE Computer Society, the Association for Computing Machinery, the American Mathematical Society and the Mathematical Association of America. John
Professor Langley developed some of the earliest computational approaches to scientific knowledge discovery, and he was an early champion of both experimental studies of machine learning and its application to real-world problems. John
Her lab works to advance the foundations of reinforcement learning and artificial intelligence, with a particular focus on the technical challenges that arise when we construct interactive systems that amplify human potential.
She has received multiple national awards for outstanding work as a young faculty member and her group has received numerous best paper nominations for their research. Daniel
His NIH-funded research program focuses on quantitative imaging and integrating imaging data with clinical and molecular data to discover imaging phenotypes that can predict the underlying biology, define disease subtypes, and personalize treatment.
Kruse is the Chief Scientific Officer of the Platypus Institute, an applied neuroscience research organization that translates cutting-edge neuroscience discoveries into practical tools and programs which enhance the human experience.
Dr. Kruse’s primary focus at the Platypus Institute is a project entitled “Human 2.0” – a multi-faceted initiative that helps selected individuals and teams leverage neurotechnology to generate meaningful competitive advantages.
Her ultimate goal with the Human 2.0 project is to create a vibrant, widespread neurotechnology industry that allows humanity to upgrade the human brain and, thereby, the human condition. Ajay
His studies have spanned a range of work settings and technologies from call center work and CRM systems, to clinicians working with electronic medical records, from copy shop employees using copiers and printers.
During her time at Nuance and Microsoft, she designed VUIs for banks, airlines, healthcare companies, and Ford SYNC, and at Volio she built a conversational iPad app that has Esquire Magazine’s style columnist advise users on what they should wear on a first date.
Just prior to Google, he led service design efforts as Director of Customer Service Experience at Walgreens, deploying proactive and personalized contact solutions for roughly 100 million customers at more than 8200 stores.
CASBS Symposium: "AI, Automation, and Society" John Markoff, Arati Prabhakar, and Tenzin Priyadarshi
The consequences of contemporary technological innovations for the lives and values of future generations are enormous.
The wide range of expected – and unexpected – applications require rethinking governance arrangements, legal regimes, economic structures, and social relations.
In the first symposium, CASBS presents a panel discussion among three 2017-18 CASBS fellows supported by the Berggruen Institute: technology journalist John Markoff, applied engineer and defense researcher Arati Prabhakar, and philosopher-ethicist and Buddhist monk Tenzin Priyadarshi.
During his fellowship year at CASBS, Markoff is working on a biography of The Whole Earth Catalog publisher Stewart Brand, as well as focusing on the impact of artificial intelligence and robotics on aging populations in the advanced world.
From 2012-17, Arati Prabhakar led the Defense Advanced Research Projects Agency (DARPA), the U.S. Defense Department agency whose mission is to anticipate, explore, and achieve breakthrough technologies for national security.
During her CASBS year, Prabhakar aims to re-examine the role of technology in society in light of emerging powerful capabilities, and how we make choices about their uses.
Stanford AI Lab's Outreach
SAIL won a number of best paper awards this year: SAIL is delighted to announce that JD.com, China’s largest retailer has agreed to establish the SAIL JD AI Research Initiative, a sponsored research program at the Stanford Artificial Intelligence Lab.
The collaboration will fund research into a range of areas including natural language processing, computer vision, robotics, machine learning, deep learning, reinforcement learning, and forecasting.
The SAIL Affiliates Program is pleased to welcome Google, the largest internet-related technology company providing advertising, search, cloud computing, software, and hardware technologies and, DiDi, a major ride-sharing company that provides transportation services for close to 400 million users across over 400 cities in China.
- On Tuesday, February 25, 2020
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