ODI Fridays: AI monopolies and the growing trend of data restriction

Details

Fri Jun 22, 2018 13:00
Open Data Institute 65 Clifton Street London EC2A 4JE

How do we prevent data being siloed, unintended encoded bias and the dangers of creating a state where the AI market is only shared by a small number of organisations?

How do we prevent data being siloed, unintended encoded bias and the dangers of creating a state where the AI market is only shared by a small number of organisations?

ODI’s Head of Tech, Olivier Thereaux, and Project Research Analyst, Lucia Chauvet have been researching a wide range of business models for developing AI systems, to better understand them and to find out the reasons for the current trend in restricting access to data.

At the ODI we believe the ideal path forward will involve increasing the amount of sharing and opening of data for and by businesses operating AI systems, as well as the adoption of a wider variety of business models within the AI community. This will need to be done in a way that secures and safeguards the trust of people while promoting innovation across the sector.

About the speakers

A graduate of the École Centrale Paris, Olivier has been plying his trade for nearly 20 years on 3 and a half continents. Leaving Paris for Keio University, he managed the open source tools and services at the W3C, founded an international non-profit democratising the art and design world online, and led the creation of countless websites and a few social network. Before joining the ODI as Head of Tech, he spent the past half decade leading some of the internet-focused innovation at the BBC through prototypes, platforms, and new standards.

Lucia works across different projects in the delivery and policy team, such as leading qualitative and quantitative research on open data business models, supporting open data initiatives and contributing to policy work.

Live stream

There will be a live stream of the talk here from 1pm on Friday 22 June 2018.