Insights into Artificial Intelligence Bias: Implications for Agriculture

This manuscript provides an extensive review of the literature on biases and fairness in AI focusing on the field of agriculture. We discuss the need for a holistic and inclusive approach to mitigate AI biases, ensuring that AI advancements benefit a broad spectrum of farming communities. The work examines how biases in data, algorithms, and deployment contexts can disproportionately affect agricultural stakeholders.

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Recommended citation:

M. Mayuravaani, A. Ramanan, M. Perera, D. A. Senanayake and R. Vidanaarachchi, “Insights into Artificial Intelligence Bias: Implications for Agriculture,” Digital Society, vol. 3, no. 3, pp. 48, 2024, doi: 10.1007/s44206-024-00142-x.

BibTeX

@article{mayuravaani2024insights,
  title={Insights into artificial intelligence bias: Implications for agriculture},
  author={Mayuravaani, Mathuranathan and Ramanan, Amirthalingam and Perera, Maneesha and Senanayake, Damith Asanka and Vidanaarachchi, Rajith},
  journal={Digital Society},
  volume={3},
  number={3},
  pages={48},
  year={2024},
  publisher={Springer International Publishing Cham}
}