Conference Agenda

Keynote: Tools and technologies for supporting algorithm fairness and inclusion
Monday, 05/July/2021:
8:30pm - 10:00pm

Session Chair: Vebashini Naidoo
Session Chair: Shelmith Kariuki
Zoom Host: Juan Pablo Narváez-Gómez
Replacement Zoom Host: CHIBUOKEM BEN UBAH
Virtual location: The Lounge #key_resp_prog

Session Topics:

ID: 359 / [Single Presentation of ID 359]: 1
Keynote Talk
Topics: Algorithms

Keynote: Tools and technologies for supporting algorithm fairness and inclusion

Achim Zeileis1, Dorothy Gordon3, Kristian Lum3, Jonathan Godfrey2

1Faculty of Economics and Statistics at Universität Innsbruck; 2Massey University, Aotearoa New Zealand; 3TBA

As R programmers and R users we create artefacts for use. The hope is that the artefact may serve, and be used, by all in our intended audience.However, we often exclude certain people, or have embedded bias in our data that we need to be aware of - Is our package, teaching material, or visualisations accessible to people with disabilities?; Is my algorithm or data analysis biased with respect to gender, race, or class? Is my technology or algorithm deepening inequality? On the other hand, graphic representations created by R are easily understood by even the most statistically illiterate individuals, which makes it a great tool for advancing public policy and the Sustainable Development Goals (SDGs).

“Inyathi ibuzwa kwabaphambili” is a Xhosa proverb, which means wisdom is learnt or sought from the elders, or those ahead in the journey. In this multi-contribution keynote we will hear from those ahead in the journey - Dorothy Gordon, Achim Zeileis, Kristian Lum and Jonathan Godfrey.

Dorothy Gordon, chair of the UNESCO Information For All Programme, will talk about making technology accessible particularly to women and Africans, and how utilising tools such as R can help advance public policy. Achim Zeileis, Professor of Statistics, Universität Innsbruck, Austria, will discuss making the color schemes in data visualizations accessible for as many users as possible. Kristian Lum, Assistant Research Professor, in the Department of Computer and Information Science at University of Pennsylvania will shine a light on what may be missing from a dataset and bias in algorithms used in high-stake decision making. Jonathan Godfrey, Lecturer of Statistics at Massey University, Aotearoa New Zealand, will discuss how to choose the right tools that make collaboration possible and fruitful so that people from all walks of life can see themselves as part of the community.