Inclusion

Category: Social and Cultural Issues

There are ethical issues around the question of inclusion and exclusion in analytics. Most often, these are put in the form of concerns about biased algorithms. But arguably, the question of inclusion in analytics ought to be posed more broadly. For example, Emily Ackerman (2019) reports of having been in a wheelchair and blocked from existing an intersection by a delivery robot waiting on the ramp. This isn't algorithmic bias per se but clearly the use of the robot excluded Ackerman from an equal use of the sidewalk.

New types of artificial intelligence lead to new types of interaction. In such cases, it is of particular importance to look at the impact on traditionally disadvantaged groups. "There is increasing recognition that harnessing technologies such as AI to address problems identified by working with a minority group is an important means to create mainstream innovations. Rather than considering these outcomes as incidental, we can argue that inclusive research and innovation should be the norm" (Coughlan, et.al., 2019a: 88).

Examples and Articles

Inclusion and Diversity in an AI World
"We have a small army of incredibly smart, relatively young, almost overwhelmingly white male AI experts being churned out by universities that have spent their entire very brief careers learning how to build ever more sophisticated hammers. But theyâ€™ve never built a house." Cisco. Direct Link

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