Prototyping AI ethics futures: Data, AI and environment

Dillon, Teresa

Abstract

Without big data, we can’t describe ‘a climate’. As individuals, we are nevertheless entreated to minimise data consumption in order to consume less energy. Yet on a global scale data-based technologies ‘instrument’ our relationships with other living things, and with the collective basis of our environment – from smart city to ‘smart forest’, from smart meter to data centre. We discuss the paradoxes of this ‘instrumenting of climate’ and some potential responses.

Across the arts, humanities and social sciences, our panelists, Jaya Chakrabarti (Vana Project) and Jennifer Gabrys (Cambridge; Smart Forest project) describe the paradoxical relationships of data and AI technologies to climate and the environment, led by Teresa Dillon (University of the West of England). Erinma Ochu and Caroline Ward, part of collective Squirrel Nation, will act as respondents.

Citation

Dillon, T. (2021, June). Prototyping AI ethics futures: Data, AI and environment. Presented at Prototyping AI ethics futures: Data, AI and environment, Online

• Presentation Conference Type: Other
• Conference Name: Prototyping AI ethics futures: Data, AI and environment
• Conference Location: Online
• Start Date: Jun 22, 2021
• End Date: Jun 22, 2021
• Deposit Date: May 4, 2022
• Public URL: https://uwe-repository.worktribe.com/output/9451390
• Publisher URL: https://www.adalovelaceinstitute.org/event/prototyping-ethics-futures-data-environment/