In a selection of five talks, this presentation explores ways that humans and AI systems interact with each other, from educational and sensory assessments to building relationships with AI Assistants. Work presented at IUI focuses on improving the interaction between humans and AI systems by combining HCI approaches with state-of-the art AI techniques from machine learning (ML), natural … We’re excited about the formal launch of the Stanford Institute for Human-Centered Artificial Intelligence (HAI) on Monday, March 18th. Human Impact — research that aims to understand and guide the global societal impact of AI technologies for the greater good. Our goal is to move the human-AI relationship forward by bringing industry trailblazers together with Stanford cross-disciplinary thought leadership to examine to evolve concepts, technologies and practice used to integrate culture and identity with artificial intelligence and robots. Case study: chest x-ray interpretation. Human-Computer Interaction (HCI) group. He is also the co-founder and associate director of the Stanford Institute for Human-Centered Artificial Intelligence (HAI). The AI Index grounds the public narrative on AI using a data-driven approach.His research is at the intersection of AI, economics, and decision-making. This decades-old contrast between artificial intelligence and human-computer interaction was the topic of a recent retrospective by Grudin [4]. 3.Human-AI Interaction. Stanford human-computer interaction professor Michael Bernstein wants to use AI to shift the way organizations are created. Tabletop interactionssuch as the ones shown below constitute a large proportion of our dailyactions and yet are hard to capture because of the large space ofhand-object configurations. CS 347 — Human-Computer Interaction Research. I don’t think I need to tell anyone that computers are everywhere and humans are interacting with them increasingly and … This course is an advanced survey of HCI research. I will start my PhD in Computer Science at Stanford in Fall 2020, supported by the NSF GRFP Fellowship (2018-2023). Potential topics may include AI and human-computer interaction; health, medicine, and wellness; robotics and automation; sustainability and climate change; education, law. Elizabeth Wilsey, Director of Community Relations at mediaX at Stanford … This course connects human-computer interaction (HCI), the multidisciplinary field that focuses on designing interactions between humans and technology, to the transformative effects of AI so that you can better serve your customers and drive your company forward. Sep 2017 100,000+ examples. Russ Altman: Today on The Future of Everything: The Future of Human and Computer Interactions. I am a part of the Stanford Human-centered AI initiative, and my students and I research the design of systems that fundamentally infuse technology and human interaction, … Applied AI in Healthcare: Safety, Community, and the Environment Virtually at Stanford University in Palo Alto, California The Spring 2020 Symposium will discuss ways to solve health-related, real-world issues in various emerging, ongoing, and underrepresented areas. Michael Bernstein Michael Bernstein is an Associate Professor of Computer Science at Stanford University, where he is a member of the Human-Computer Interaction group. Any such ap… VHIL research examines how augmented reality affects people’s behavior, Stanford News Researchers found that after people had an experience in augmented reality (AR) – simulated by wearing goggles that layer computer-generated content onto real-world environments – their interactions in their physical world changed as well, even with the AR device removed. The idea of human-computer interaction (HCI) is a topic of discussion across the industry. His research focuses on the design of social computing and crowdsourcing systems. How can clinically-informed ML techniques improve medical AI? Research in geometric computation, light fields and computational photography, human-computer interaction and design thinking as well as computational algorithms for a variety of applications. We cover foundations and frontiers: seminal work on interactive systems, and recent advances. He works on software that can intelligently process, understand, and generate human language material. Our goal is to recognize, represent and generatethese physicalinteractions by learning from large video collections. He describes the alternating cycles in which one approach was ascendant while the other suffered a “winter†in terms of attracting interest and funding from scientific agencies. degree from Universidad Politécnica de Madrid. The first challenge is to move beyond mere interaction. James Landay, the Anand Rajaraman and Venky Harinarayan Professor in the School of Engineering and member of the Wu Tsai Neurosciences Institute.. Full Transcript. Stanford Computer Graphics / Human-Computer Interaction (HCI) group Research in geometric computation, light fields and computational photography, human-computer interaction and design thinking as well as computational algorithms for a variety of applications. In his research, he integrates interactions as part of novel perception and learning procedures. He is the founder and co-director of the World Lab, a joint research and educational effort with Tsinghua University in Beijing. With a host of new policy areas to study and an exciting new toolkit, socialscience research is on the cusp of a golden age. Stanford’s Susan Athey discusses the extraordinary power of machine-learning and AI techniques, allied with economists’ know-how, to answer real-world business and policy problems. Specifically, his research investigates giving feedback to existing teams/help them be more productive, determining optimal team-switching to spread ideas, and coordinating on-demand teams of experts. Professor Manning is the Director of the Stanford Artificial Intelligence Laboratory, and Co- director of the Stanford Human-Centered Artificial Intelligence Institute. Core topics include interaction, social computing, and design; breadth topics include AI+HCI, media tools, programming tools, and accessibility. We focus our investigation on a subset of the diverse interactions thathumans experience — common tabletop home or office interactions wherethe hand manipulates objects on a desk or table. Before to coming to Stanford, he received his PhD and Masters degree from Technische Universität Berlin (TUB) working with Professor Oliver Brock, and his BSc. Potential topics may include the impact of AI on economics, society, government, ethics, philosophy, policy, and … The ACM International Conference on Intelligent User Interfaces (IUI) is the premier venue where the human-computer interaction (HCI) community meets the artificial intelligence (AI) community. 1. Lessons from building Stanford Question Answering Dataset (SQuAD) Drove advancements in deep learning models from top institutions and companies. STACY PEÑA December 7, 2020 Today Stanford HAI announced it has awarded more than $2.5 million dollars in seed grants to fund interdisciplinary artificial intelligence (AI) research at Stanford University that aims to improve the human condition. He specializes in human-computer interaction. He is a leader in applying Deep Learning to Natural Language Processing, Zoe Bauer, 2018, “The AI Index 2018 Annual Report”, 17 December 2018, Stanford, CA: AI Index Steering Committee, Human-Centered AI Initiative, Stanford … My current research interests include building more reliable machine learning systems, especially through the lens of human-AI interaction and collaboration, as well as re-thinking current data collection techniques. Shifting viewpoints: Artificial intelligence and human-computer interaction ARTIFICIAL INTELLIGENCE Winograd, T. 2006; 170 (18): 1256-1258 View details for DOI 10.1016/j.artint.2006.10.011 View details for Web of Science ID 000243238200012 The humans and machines are teammates and collaborative partners now. Saurabh Mishra is a researcher and the manager of the AI Index Program at Stanford Institute for Human-Centered Artificial Intelligence (HAI). Principal Investigators:Maneesh Agrawala, Michael Bernstein, and James LandayTRI Liaisons:Tiffany ChenProject SummaryFrom car dashboards that make the most relevant controls readily accessible, to car environments that help people transition mentally from home to work, we imagine a future in which cars understand a broad range of human behaviors and help shape human behaviors. We resonate with Fei-Fei Li, John Etchemendy, and other leaders at Stanford on the promise of taking an interdisciplinary approach to AI, on a pathway guided by insights about human intelligence, and one that carefully considers the goals and needs of … With the addition of learning capabilities in AI-based machine intelligence, human-machine relationships have shifted from human-computer interaction to human-machine integration and human-machine teaming . And Computer Interactions of Everything: the Future of Everything: the Future of human and Computer.! 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