Exploring Aquaculture Professionals’ Perceptions of Artificial Intelligence: Quantitative Insights into Mediterranean Fish Health Management

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Abstract
This study aims to explore aquaculture professionals’ perspectives on, attitudes towards and understanding of Mediterranean farm fish health management, regarding Artificial Intelligence (A.I.), and to shed light on the factors that affect its adoption. A survey was distributed during a major fish health management conference, representing more than 70% of Greek domestic production. A total of 73 questionnaires were collected, for which descriptive statistics and statistical analysis followed. Gender and age were shown to affect interest in A.I. and in viewing A.I. as a partner rather than a competitor. Age was additionally shown to affect trust in A.I. estimates and anticipation that A.I. will contribute to professional development. Education level shows no significant effect. Knowledge of A.I. is positively correlated with A.I. usage (r = 0.43, p < 0.05), as is interest in learning about A.I. (r = 0.64). A.I. usage is in turn positively correlated with eagerness to see its contribution (r = 0.72). Despite the fact that 64.4% characterized their knowledge as little or non-existent, 67.1% expressed interest in learning more, while 43.8% believe that A.I. will revolutionize aquaculture and 74% do not fear they will be replaced by A.I. in the future. The findings highlight the importance of targeted educational initiatives to bridge the knowledge gap and encourage trust in A.I. technologies.
Funding Information
  • Improving Competitiveness of the Greek Fish Farming Through Development of Intelligent Systems for Disease Diagnosis and Treatment Proposal and Relevant Risk Management Supporting Actions (MIS 5067321, EPAL 2014-2020)
  • EU-Greece Operational Program of Fisheries (MIS 5067321, EPAL 2014-2020)

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