2022 HAI Fall Conference on AI in the Loop: Humans in Charge
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
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
Related Events
Ashesh Rambachan | From Next-Token Prediction to Automatic Induction of Automata
Sequence data is ubiquitous in economics — job histories in labor economics, diagnosis and treatment sequences in health economics, strategic interactions in game theory. Generative sequence models can learn to predict these sequences well, but their complexity makes it hard to extract interpretable economic insights from their predictions.
.png&w=1920&q=100)
Sequence data is ubiquitous in economics — job histories in labor economics, diagnosis and treatment sequences in health economics, strategic interactions in game theory. Generative sequence models can learn to predict these sequences well, but their complexity makes it hard to extract interpretable economic insights from their predictions.
Caroline Meinhardt, Thomas Mullaney, Juan N. Pava, and Diyi Yang | How Can AI Support Language Digitization and Digital Inclusion?
What does digital inclusion look like in the age of AI? Over 6,000 of the world’s 7,000-plus living languages remain digitally disadvantaged.
What does digital inclusion look like in the age of AI? Over 6,000 of the world’s 7,000-plus living languages remain digitally disadvantaged.
Matt Beane | Precision Proactivity: Measuring Cognitive Load in Real-World AI-Assisted Work
Systems like ChatGPT and Claude assist billions through proactive dialogue—offering unsolicited, task-relevant information. Drawing on Cognitive Load Theory, we study how cognitive load shapes performance in AI assisted knowledge work.
.png&w=1920&q=100)
Systems like ChatGPT and Claude assist billions through proactive dialogue—offering unsolicited, task-relevant information. Drawing on Cognitive Load Theory, we study how cognitive load shapes performance in AI assisted knowledge work.
