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The potential for AI to revolutionize conservation: a horizon scan.

Sam A Reynolds1, Sara Beery2, Neil Burgess3

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Artificial Intelligence (AI) offers powerful conservation solutions for the biodiversity crisis. Experts identified 21 AI applications, from species recognition to wildlife trade monitoring, while also considering potential risks.

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Area of Science:

  • Conservation Biology
  • Artificial Intelligence
  • Biodiversity Science

Background:

  • The escalating biodiversity crisis necessitates innovative conservation solutions.
  • Artificial Intelligence (AI) presents a promising technological frontier for conservation efforts.
  • Identifying impactful AI applications is crucial for effective biodiversity protection.

Purpose of the Study:

  • To conduct a horizon scan identifying key AI applications beneficial to biological conservation.
  • To explore the potential of AI in addressing critical conservation challenges.
  • To consider the risks and ethical implications of AI adoption in conservation.

Main Methods:

  • Convened an international panel of conservation scientists and AI experts.
  • Utilized a horizon scanning approach to identify emerging AI applications.
  • Synthesized expert insights on 21 key AI-driven conservation strategies.

Main Results:

  • Identified 21 significant AI applications for conservation, including species recognition, biodiversity loss prediction, wildlife trade monitoring, and human-wildlife conflict resolution.
  • Highlighted the potential of AI to uncover 'dark diversity' and improve predictive models.
  • Acknowledged potential negative impacts like AI colonialism and skill degradation.

Conclusions:

  • AI holds substantial potential to advance biological conservation and address the biodiversity crisis.
  • Strategic adoption of AI is necessary to maximize benefits while mitigating risks such as ethical concerns and skill erosion.
  • The conservation field must adapt to integrate AI effectively and responsibly.