Towards accountability in data science

Critical AI & Data Justice in Society

Reflections on the session “Situating Big Data and AI in Societal Context”

Laura Uusitalo & Kaisla Kajava

The week’s readings included Situating methods in the magic of Big Data and AI by M.C. Elish and danah boyd, and Anatomy of an AI System – The Amazon Echo as an anatomical map of human labor, data and planetary resources by Kate Crawford and Vladan Joler.

The papers reflected on issues of accountability of actors involved in computing, big data, machine learning, and AI on both social and environmental fronts. The issues ranged from the environmental footprint of building smartphones and computers (particularly extractivism i.e. extracting natural resources such as lithium for smartphone batteries) and the cost of these actions to humans living near the extraction sites and those providing labour for the relevant industries, to how AI is presented to end-users as something “magical” that cannot be understood - and perhaps…

View original post 521 more words

Leave a Reply

Please log in using one of these methods to post your comment:

WordPress.com Logo

You are commenting using your WordPress.com account. Log Out /  Change )

Twitter picture

You are commenting using your Twitter account. Log Out /  Change )

Facebook photo

You are commenting using your Facebook account. Log Out /  Change )

Connecting to %s

This site uses Akismet to reduce spam. Learn how your comment data is processed.