November 14, 2019
Google Offices, London
Participatory
Machine Learning
Talks, panels and Q&As:
Removing barriers to machine learning and AI
Speakers
Chris Noessel
Senior Design Lead,
Supply Chain Business Assistant (AI), IBM
Claire Kayacik
Senior UX Researcher, Google
Cosmina Dorobantu
Public Policy Programme Director, Fellow
The Alan Turing Institute
David Weinberger
Writer-in-Residence, PAIR
Author, Everyday Chaos
Douglas Eck
Principal Scientist, Google
Lead, Magenta
Fernanda Viégas
Senior Staff Research Scientist, Google
Co-founder, PAIR
Hanna Hagström
Director of Artificial Intelligence
Reaktor
Jess Holbrook
Senior Staff UX Researcher, Google
Co-founder, PAIR
Mahima Pushkarna
UX Designer, Google
Martin Wattenberg
Senior Staff Research Scientist
Google, and co-founder, PAIR
Matt Webb
Independent Consultant, Mwie Ltd.
Blogger, Interconnected.org
Michael Veale
Lecturer in Digital Rights and Regulation
University College London
Sir Nigel Shadbolt
Principal and Professorial Research Fellow
Computer Science, University of Oxford
Raghu Dharmaraju
VP, Products and Programs,
Wadhwani AI
Signe Nørly
Design Lead, Google
Simone Stumpf
Senior Lecturer, City University of London
Tulsee Doshi
Product Lead, ML Fairness, Google
Yannick Assogba
Software Engineer, Google
PAIR Guidebook Fellow
Schedule
MORNING
DESIGN Track
video_libraryInterview + Q&A - Fernanda Viégas and Nigel Shadbolt
video_libraryDesigning for Participatory ML + Q&A - Chris Noessel
video_libraryMaking Music with Magenta - Douglas Eck, Signe Norly and Claire Kayacik
POLICY Track
video_librarySocietal and Regulatory Challenges of Encrypted Data Analysis + Q&A - Michael Veale
video_libraryAI for Social Good + Q&A - Wadhwani AI - Raghu Dharmaraju
video_libraryPanel: Transparency in AI + Q&A - Moderator: Chris Noessel. Panel: Raghu Dharmaraju, Tulsee Doshi, Michael Veale
AFTERNOON
TECHNOLOGY Track
video_libraryUsing PAIR Tools: What if? And Tensorflow.js - Mahima Pushkarna and Yannick Assogba
video_libraryThe Metaphysics of ML - David Weinberger
video_libraryRethink Policy with AI - Cosmina Dorobantu
PAIR Lead Q&As
video_libraryQ&A: Investing in the UX of AI - Jess Holbrook and Matt Webb
video_libraryQ&A: AI Explainability - Martin Wattenberg and Simone Stumpf
About PAIR
PAIR advances the research and design of people-centric AI systems. We’re interested in the full spectrum of human interaction with AI, from supporting the engineers and teams building AI to understanding people’s everyday experiences with AI.
We’re a multidisciplinary team. Our goal is to do fundamental research, invent new technology, and create frameworks for design in order to drive a human-centered approach to AI. And we want to be as open as possible: we build open source tools that everyone can use, host public events, and support academics in advancing the state of the art.