Articlediamond2016

The ethics of big data in big agriculture

245 citations0/0 files storedInternet Policy Review

No readable copy stored yet — this record is metadata only.

Ethics and Social Impacts of AI Smart Agriculture and AI Digitalization, Law, and Regulation

Abstract

Agribusinesses are buying into big data for its predictive powers, bypassing farmers and aggregating previously proprietary farming data. Given this power asymmetry, what are the ethics of the use of big data in big agriculture?

Citations in this library

Stored only when both papers are in the corpus — 245 citations exist upstream.

References

1996Discipline and Punish: The Birth of the Prison.2012Trending: The Promises and the Challenges of Big Social Data 2014The Rise of Big Data: How It’s Changing the Way We Think about the World

Cited by

2018Agriculture 4.0: Broadening Responsible Innovation in an Era of Smart Farming 2023Digital innovations for sustainable and resilient agricultural systems 2017How data analytics is transforming agriculture 2022Recommendations for ethical and responsible use of artificial intelligence in digital agriculture 2021Patterns of Inequalities in Digital Agriculture: A Systematic Literature Review 2020Trust in farm data sharing: reflections on the EU code of conduct for agricultural data sharing 2019Conceptualising the DAIS: Implications of the ‘Digitalisation of Agricultural Innovation Systems’ on technology and policy at multiple levels 2021How digitalisation interacts with ecologisation? Perspectives from actors of the French Agricultural Innovation System

Imported from OpenAlex (CC0) — nothing here is generated.