Presented By
O’Reilly + Cloudera
Make Data Work
29 April–2 May 2019
London, UK
Duncan Ross

Duncan Ross
Chief Data Officer, Times Higher Education

@teradata

Duncan Ross is chief data officer at Times Higher Education. Duncan has been a data miner since the mid-1990s. Previously at Teradata, Duncan created analytical solutions across a number of industries, including warranty and root cause analysis in manufacturing and social network analysis in telecommunications. In his spare time, Duncan has been a city councilor, chair of a national charity, founder of an award-winning farmers market, and one of the founding directors of the Institute of Data Miners. More recently, he cofounded DataKind UK and regularly speaks on data science and social good.

Sessions

14:05–14:45 Wednesday, 1 May 2019
Using data for evil V: The AI strikes back
Law and Ethics, Strata Business Summit
 Location: Capital Suite 10/11
Secondary topics:  AI and machine learning in the enterprise, Ethics
Duncan Ross (Times Higher Education), Francine Bennett (Mastodon C)
Average rating: ****.
(4.83, 12 ratings)
Being good is hard. Being evil is fun and gets you paid more. Once more Duncan Ross and Francine Bennett explore how to do high-impact evil with data and analysis (and possibly AI). Make the maximum (negative) impact on your friends, your business, and the world—or use this talk to avoid ethical dilemmas, develop ways to deal responsibly with data, or even do good. But that would be perverse. Read more.
17:25–18:05 Wednesday, 1 May 2019
Why is it so hard to do AI for good?
Law and Ethics, Strata Business Summit
 Location: Capital Suite 12
Secondary topics:  Ethics
Duncan Ross (Times Higher Education), giselle cory (DataKind UK)
Average rating: ****.
(4.50, 4 ratings)
DataKind UK has been working in data for good since 2013, helping over 100 UK charities to do data science for the benefit of their users. Some of those projects have delivered above and beyond expectations; others haven't. Duncan Ross and Giselle Cory explain how to identify the right data for good projects and how this can act as a framework for avoiding the same problems across industry. Read more.