Videos
See AI2's full collection of videos on our YouTube channel.Viewing 111-120 of 251 videos
Augmenting Collective Human Work
May 1, 2019 | Jonathan BraggA longstanding goal of artificial intelligence (AI) is to develop agents that can assist or augment humans. Such agents have the potential to transform society. While AI agents can excel at well-defined tasks like games, much more limited progress has been made solving real-world problems like interacting with…
Both Sides Now: Generating and Understanding Visually-Grounded Language
April 24, 2019 | Peter AndersonFrom robots to cars, virtual assistants and voice-controlled drones, computing devices are increasingly expected to communicate naturally with people and to understand the visual context in which they operate. In this talk, I will present our latest work on generating and comprehending visually-grounded language…
User-centric Recommendation Models and Systems
April 12, 2019 | Longqi YangThe daily actions and decisions of people are increasingly shaped by recommendation systems, from e-commerce and content platforms to education and wellness applications. These systems selectively suggest and present information items based on their characterization of user preferences. However, existing…
Learning Challenges in Natural Language Processing
April 8, 2019 | Swabha SwayamdiptaAs the availability of data for language learning grows, the role of linguistic structure is under scrutiny. At the same time, it is imperative to closely inspect patterns in data which might present loopholes for models to obtain high performance on benchmarks. In a two-part talk, I will address each of these…
Learning Structured Information from Language
April 3, 2019 | Arzoo KatiyarExtracting information from text entails deriving a structured, and typically domain-specific, representation of entities and relations from unstructured text. The information thus extracted can potentially facilitate applications such as question answering, information retrieval, conversational dialogue and…
Natural Language Understanding with Indirect Supervision
March 29, 2019 | Daniel KhashabiCan we solve language understanding tasks without relying on task-specific annotated data? This could be important in scenarios where the inputs range across various domains and it is expensive to create annotated data. I discuss two different language understanding problems (Question Answering and Entity…
Spatiotemporal understanding of people using scenes, objects and poses
March 11, 2019 | Rohit GirdharHumans are arguably one of the most important entities that AI systems would need to understand to be useful and ubiquitous. From autonomous cars observing pedestrians, to assistive robots helping the elderly, a large part of this understanding is focused on recognizing human actions, and potentially, their…
AI & Policy Workshop
March 7, 2019 |"An Ethical Crisis in Computing?" Moshe Vardi | Karen Ostrum George Distinguished Professor, Computational Engineering, Rice University "Algorithmic Accountability: Designing for Safety" Ben Shneiderman | Distinguished Professor, Department of Computer Science, University of Maryland, College Park "AI Policy…
Natural Language Programming (NLPRO): Turning Texts into Executable Code
March 1, 2019 | Reut TsarfatyCan we program computers in our native tongue? This idea, termed natural language programming (NLPRO), has attracted attention almost since the inception of computers themselves. From the point of view of software engineering (SE), efforts to program in natural language (NL) have relied thus far on controlled…
Where’s the Data: A new approach to social science data search and discovery
February 5, 2019 | Julia LaneThe social sciences are at a crossroads The great challenges of our time are human in nature - terrorism, climate change, the use of natural resources, and the nature of work - and require robust social science to understand the sources and consequences. Yet the lack of reproducibility and replicability evident…