Videos

See AI2's full collection of videos on our YouTube channel.
Viewing 31-40 of 251 videos
  • Toward Intelligent Writing Support Beyond Completing Sentences Thumbnail

    Toward Intelligent Writing Support Beyond Completing Sentences

    May 23, 2023  |  Chieh-Yang Huang
    Abstract: Writing is a challenging and demanding task that plays a critical role across various domains. Creative writing calls for innovative and attractive ideas, while scientific writing emphasizes clarity and a comprehensive presentation of concepts. Different fields present unique writing challenges and thus…
  • Towards robust long-form text generation systems Thumbnail

    Towards robust long-form text generation systems

    May 23, 2023  |  Kalpesh Krishna
    Abstract: Long-form text generation is an emerging AI technology that has seen extensive recent interest due to the success of ChatGPT. However, several key challenges need to be addressed before long-form generation systems can be practically deployed at scale. In this talk, I will present my research that…
  • Evaluating ethical and social risks from large models Thumbnail

    Evaluating ethical and social risks from large models

    Abstract: Large generative models create the potential for many beneficial use cases, but they also raise significant ethical and social risks of harm. How can we know whether a large model is aligned with our expectations? In this talk, we first present a taxonomy of ethical and social risks developed by a…
  • "Open" AI: considering the ethical upsides and downsides of "Open" AI development Thumbnail

    "Open" AI: considering the ethical upsides and downsides of "Open" AI development

    April 6, 2023  |  David Gray Widder
    Abstract: In this talk, I will discuss the ethical upsides and downsides of releasing AI openly. I will first present our FAccT’22 paper [1], where we interview contributors to an open source Deepfake tool about their sense of responsibility and agency to prevent harm. We show that open source licenses and…
  • The BigScience Workshop Thumbnail

    The BigScience Workshop

    March 30, 2023  |  Yacine Jernite
    Abstract: The presentation will focus on presenting the evolution of the BigScience Workshop, its outcomes, and its focus on governance of the project itself and of its data and models. Bio: Yacine Jernite currently leads the ML and Society team at Hugging Face, where they work on ML systems governance at the…
  • Moving Forward by Moving Backward: Embedding Action Impact over Action Semantics Thumbnail

    Moving Forward by Moving Backward: Embedding Action Impact over Action Semantics

    This video describes the Action Adaptive Policy by Zeng et al. (ICLR 2023). In the video, we discuss the formulation of motion drifts in point navigation and object navigation tasks. Additionally, we introduce the Action Adaptive Policy (AAP) to address these motion drifts. Finally, we demonstrate that AAP…
  • Recycling finetuned models to pretrain: on loss spaces, fusing and evolving pretraining Thumbnail

    Recycling finetuned models to pretrain: on loss spaces, fusing and evolving pretraining

    March 7, 2023  |  Leshem Choshen
    This work will discuss the recent advancement in recycling finetuned models – Harnessing the data and computation invested in one or more models to collaboratively improve the pre-trained model they originated form. The work will also touch on our initial understandings of how and why fusing several models by…
  • Robot learning and perception for contact-rich manipulation Thumbnail

    Robot learning and perception for contact-rich manipulation

    March 2, 2023  |  Samarth Brahmbhatt
    Abstract: Object rearrangement will become an important skill for collaborative robots as they increasingly operate in unstructured environments. Rearrangement involves grasping, goal-conditioned navigation, and placement. In this talk, I will present our latest work, which focuses on placement. We learn a…
  • Empowering Human-like Decision Making in AI Models through Explanations Thumbnail

    Empowering Human-like Decision Making in AI Models through Explanations

    February 22, 2023  |  Ramasamy Selvaraju Ramprasaath
    Abstract: Deep neural networks have achieved remarkable results in several Computer Vision tasks, but their increasing complexity poses challenges in terms of interpretability. In this talk, I will present my research on explainability in deep learning models, ranging from convolutional neural networks (CNNs) to…
  • Environment-oriented modeling for grounded NLP and collective intelligence systems Thumbnail

    Environment-oriented modeling for grounded NLP and collective intelligence systems

    February 21, 2023  |  Ronen Tamari
    Abstract: “Ask not what's inside your head, but what's your head inside of” — W.M. Mace, 1977 In contrast to classical cognitive science which studied brains in isolation, ecological cognitive science accounts focus on the role of the body and external environment in shaping cognition. In this talk I will…