Talk on AI and gender balance.
Marian Nicholson, Fujitsu Distinguished Engineer
We all come with an unconscious bias to decisions we make. Automating decisions can easily perpetuate that bias and data, i.e. statistics have always been used to reinforce a bias. In my view, as data scientists, we have an obligation to make our solutions as fair as possible. Artificial intelligence is often constructed from grossly biased and de-contextualised information and ideas that can be harmful when turned into automated decision making systems and this talk as an exploration of how we can reduce bias in AI.
About the speaker
Marian has over 25 years of experience working in computer science and educated to Masters level, with a degree in Computer Science. Currently, she works for Fujitsu, as a Lead Deal Architect designing solutions for customers, working with Fujitsu Laboratories, to fulfil the Fujitsu vision of Human Centric Innovation. Our research focus is on creating cutting-edge solutions that benefit society, with particular emphasis on healthcare, manufacturing and finance. Our specialist research teams are actively engaged in Artificial Intelligence initiatives, as well as security technology research, and advanced cognitive networks research. Working with customers, collaboration partners and society as a whole to drive the evolution of ICT and help realize a safer and more prosperous world. Open Innovation is an essential element working with some of Europe’s highest profile initiatives, including the 5G Innovation Center - the world's first research center dedicated to 5G - and the European Union's largest ever research and innovation program, Horizon 2020.