Executive summary: This exploratory piece gathers perspectives from five animal advocacy leaders on how AI is reshaping research, farming, and organizational practices, highlighting both risks (e.g. intensification of animal agriculture) and opportunities (e.g. faster research, precision welfare, advocacy tools), and urging advocates to experiment with AI now to avoid falling behind.
Key points:
AI is already transforming research workflows: tools like Perplexity, Elicit, and Gemini enable faster literature reviews, data synthesis, and stakeholder mapping, with some projects delivered 25% quicker.
Organizations fear obsolescence if they don’t adapt: Bryant Research is shifting toward services AI cannot easily replace (surveys, focus groups, strategic analysis) and experimenting with new AI-driven engagement formats.
Building an “AI culture” is seen as critical: Shrimp Welfare Project is preparing for a future where managing AI systems and “Precision Welfare” tools (e.g. smart feeders, aquaculture monitoring) could reshape shrimp welfare and farming practices.
Advocates at Rethink Priorities stress evaluating interventions for “AI resilience” and investing in capacity building so that welfare improvements remain relevant under highly automated systems.
AI offers major potential in wild animal research by automating time-intensive tasks like video labeling and enabling real-time welfare assessment, but must be treated as a complement to human judgment.
Across interviewees, a common theme emerges: AI greatly boosts productivity but also risks widening inequality between organizations that adopt it and those that ban or neglect it; the movement must experiment now to steer AI toward better outcomes for animals.
This comment was auto-generated by the EA Forum Team. Feel free to point out issues with this summary by replying to the comment, and contact us if you have feedback.
Executive summary: This exploratory piece gathers perspectives from five animal advocacy leaders on how AI is reshaping research, farming, and organizational practices, highlighting both risks (e.g. intensification of animal agriculture) and opportunities (e.g. faster research, precision welfare, advocacy tools), and urging advocates to experiment with AI now to avoid falling behind.
Key points:
AI is already transforming research workflows: tools like Perplexity, Elicit, and Gemini enable faster literature reviews, data synthesis, and stakeholder mapping, with some projects delivered 25% quicker.
Organizations fear obsolescence if they don’t adapt: Bryant Research is shifting toward services AI cannot easily replace (surveys, focus groups, strategic analysis) and experimenting with new AI-driven engagement formats.
Building an “AI culture” is seen as critical: Shrimp Welfare Project is preparing for a future where managing AI systems and “Precision Welfare” tools (e.g. smart feeders, aquaculture monitoring) could reshape shrimp welfare and farming practices.
Advocates at Rethink Priorities stress evaluating interventions for “AI resilience” and investing in capacity building so that welfare improvements remain relevant under highly automated systems.
AI offers major potential in wild animal research by automating time-intensive tasks like video labeling and enabling real-time welfare assessment, but must be treated as a complement to human judgment.
Across interviewees, a common theme emerges: AI greatly boosts productivity but also risks widening inequality between organizations that adopt it and those that ban or neglect it; the movement must experiment now to steer AI toward better outcomes for animals.
This comment was auto-generated by the EA Forum Team. Feel free to point out issues with this summary by replying to the comment, and contact us if you have feedback.