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2022 HAI Fall Conference on AI in the Loop: Humans in Charge | Stanford HAI

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eventConference

2022 HAI Fall Conference on AI in the Loop: Humans in Charge

Status
Past
Date
Tuesday, November 15, 2022 9:00 AM - 5:00 PM PST/PDT
Location
Paul Brest Hall, 555 Salvatierra Walk, Stanford, CA 94305
Overview
Agenda
Presentation Titles & Abstracts
Speakers
Recordings

9:00am PST

Welcome and Introduction


9:15am PST

The Role of Design in Socially Responsible AI


10:00am PST

Panel I: Designing for AI

With advances in neural networks, computer vision, natural language processing and more, AI is becoming a regular part of everyday life. We now have an extraordinary ability to insert ‘intelligence’ into machines, enabling systems to assist and empower people across a broad range of tasks. However, many questions remain: How do we embed this ‘intelligence’ in a responsible, equitable and sustainable way? Who is involved in the design of these systems and who frames the discussion? What do we expect from our AI experience? What are the new design processes and patterns to make these systems successful for individuals, communities and society? This panel explores how we might think about design principles in the age of AI and how we can best combine the benefits of automated assistance with user interaction to build an AI experience that benefits us all.


11:40am PST

VideoSticker: A Tool for Active Viewing and Visual Note-taking from Videos

Read the full paper


11:45am PST

Lunch


1:30pm PST

Panel II: AI for Communities and Organizations


3:00pm PST

Break


3:15pm PST

GIMO: Gaze-Informed Human Motion Prediction in Context


3:25pm PST

Panel III: Human-centered AI Health (augmentation and assistance)

AI technologies are transforming healthcare and will have a far-reaching impact on health outcomes across the globe. In this discussion panelists will explore some of the most emergent research and applications in assistance and accessibility, from the training of healthcare professionals to understanding well-being, prompting behavior change and supporting those with disabilities. We will also examine key design considerations to ensure these systems benefit the individuals they are meant to serve.


5:00pm PST

Closing Remarks


5:15pm PST

Reception

Overview
Agenda
Presentation Titles & Abstracts
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Event Contact
Celia Clark
celia.clark@stanford.edu
Related
  • Russ Altman
    Kenneth Fong Professor and Professor of Bioengineering, of Genetics, of Medicine, of Biomedical Data Science | Associate Director and Senior Fellow, Stanford HAI | Professor, by courtesy, of Computer Science
    Russ Altman
  • James Landay
    Denning Co-Director, Stanford HAI | Anand Rajaraman and Venky Harinarayan Professor of Computer Science, Stanford University
  • I Launched the AI Safety Clock. Here’s What It Tells Us About Existential Risks
    TIME
    Oct 13
    media mention

    Despite huge advancements in machine learning and neural networks, AI systems still depend on human direction. This article references HAI's 2022 conference where attendees were encouraged to rethink AI systems with a “human in the loop” and consider a future where people remain at the center of decision making.

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