November 14, 2019
Google Offices, London

Machine Learning

Talks, panels and Q&As:
Removing barriers to machine learning and AI


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

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.

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

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.