Russ Altman: Today on The Future of Everything: The Future of Human and Computer Interactions. Saurabh Mishra is a researcher and the manager of the AI Index Program at Stanford Institute for Human-Centered Artificial Intelligence (HAI). How can clinically-informed ML techniques improve medical AI? He is also the co-founder and associate director of the Stanford Institute for Human-Centered Artificial Intelligence (HAI). Stanford human-computer interaction professor Michael Bernstein wants to use AI to shift the way organizations are created. 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 . Potential topics may include the impact of AI on economics, society, government, ethics, philosophy, policy, and … Any such ap… 3.Human-AI Interaction. His research focuses on the design of social computing and crowdsourcing systems. We’re excited about the formal launch of the Stanford Institute for Human-Centered Artificial Intelligence (HAI) on Monday, March 18th. 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. 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. 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. Potential topics may include AI and human-computer interaction; health, medicine, and wellness; robotics and automation; sustainability and climate change; education, law. 1. In his research, he integrates interactions as part of novel perception and learning procedures. We cover foundations and frontiers: seminal work on interactive systems, and recent advances. Sep 2017 100,000+ examples. 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 … 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. I don’t think I need to tell anyone that computers are everywhere and humans are interacting with them increasingly and … Elizabeth Wilsey, Director of Community Relations at mediaX at Stanford … 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 is a leader in applying Deep Learning to Natural Language Processing, This course is an advanced survey of HCI research. He is the founder and co-director of the World Lab, a joint research and educational effort with Tsinghua University in Beijing. He works on software that can intelligently process, understand, and generate human language material. Zoe Bauer, 2018, “The AI Index 2018 Annual Report”, 17 December 2018, Stanford, CA: AI Index Steering Committee, Human-Centered AI Initiative, Stanford … 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, … The idea of human-computer interaction (HCI) is a topic of discussion across the industry. Human-Computer Interaction (HCI) group. 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. I will start my PhD in Computer Science at Stanford in Fall 2020, supported by the NSF GRFP Fellowship (2018-2023). Our goal is to recognize, represent and generatethese physicalinteractions by learning from large video collections. 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. 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. degree from Universidad Politécnica de Madrid. He specializes in human-computer interaction. 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. The humans and machines are teammates and collaborative partners now. 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. CS 347 — Human-Computer Interaction Research. 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. Professor Manning is the Director of the Stanford Artificial Intelligence Laboratory, and Co- director of the Stanford Human-Centered Artificial Intelligence Institute. 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. This decades-old contrast between artificial intelligence and human-computer interaction was the topic of a recent retrospective by Grudin [4]. Case study: chest x-ray interpretation. Human Impact — research that aims to understand and guide the global societal impact of AI technologies for the greater good. The first challenge is to move beyond mere interaction. Lessons from building Stanford Question Answering Dataset (SQuAD) Drove advancements in deep learning models from top institutions and companies. 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. 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. 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. Core topics include interaction, social computing, and design; breadth topics include AI+HCI, media tools, programming tools, and accessibility. 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. James Landay, the Anand Rajaraman and Venky Harinarayan Professor in the School of Engineering and member of the Wu Tsai Neurosciences Institute.. Full Transcript. 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. 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 Lessons from building Stanford Question Answering Dataset ( SQuAD ) Drove advancements in deep learning from... 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