ECO PRO continued
3. Teach ‘Media Literacy’ (especially to the audience dis- connected from nature). Emphasize education as an ur- gent response, particularly since consistent global regulation is unlikely in the near future. Dive pros are uniquely qualified to teach this because we can combine images with firsthand interpretations. In advanced and professional-level programs, include brief modules on: How wildlife is misrepresented online, through both at- ▪ tack videos and ‘cuddly’ content. Simple plausibility checks: Is this behavior plausible? Is ▪ this species found here? Does this interaction seem safe or normal? Why anthropomorphic storytelling is appealing, and ▪ where it clashes with biology. This isn't about turning divers into cynics; it’s about equipping them to become knowledgeable, discerning am- bassadors. 4. Guard against distortions. The Mongabay articles highlight two opposite distortions from AI imagery: 1) Fear- inflating content (fake attacks that provoke hostility and per- secution); and 2) risk-minimizing content (cute ‘friendship’ content that normalizes unsafe contact and fuels exotic pet demand). Fear-inducing content might be fabricated shark attacks or AI clips of ‘rogue’ groupers attacking divers. Risk- minimizing content might show dolphins behaving like do- mesticated pets or reef sharks being hugged by children. A third distortion comes from Dr. Guerrero-Casado’s article: false location claims, posting images and asserting they were taken where the species doesn’t exist. This can mislead the public about native biodiversity and even increase tourist pressure on fragile sites. In an industry already driven by ‘bucket list’ travel, a viral fake can lead real people into authentic habitats, causing genuine ecological problems. 5. Protect the data stream, not just the story. We often see images as tools for marketing or education. Yet, conservation science increasingly depends on online content to answer ecological questions, such as occurrence, behavior, and dis- tribution. AI-generated imagery can pollute this ‘digital ecology’ by making the filtering process more complex. For dive professionals who post frequently, this means a respon- sibility not only to audiences but also to future data users: be precise about the date, location, and species identification; avoid vague captions; and keep source files when possible. 6. Be aware of the ‘charisma bias.’ The Guerrero-Casado article suggests that AI wildlife content will tend to focus on mammals because they are most engaging on social media, which can distort public attention and conservation funding. Marine ecosystems have their own charisma hierarchy, sharks,
turtles, dolphins, whales, while less ‘engaging’ taxa (invertebrates, seagrass communities, many reef fishes) are already ignored. One way to address this is to intentionally diversify what we photograph, teach, and celebrate: not only apex predators but also habitats and overlooked organisms that genuinely help reefs function. Marketing in a Post-Truth Marketplace: Even before AI, our industry already tended to cherry-pick the truth: brochure- perfect reefs, endless sunny days, and wildlife schedules that match theme park timetables. Now, AI encourages us to take those tendencies even further. But in a world flooded with incredible images, credibility remains important. For operators and agencies, that might mean: Label your visual content as authentic field photography, ▪ with behind-the-scenes notes on how and when it was captured. Occasionally show ‘shoulder shots’ of damaged environ- ▪ ments, not to deter customers, but to attract divers who want to understand and help. Train staff in visual ethics and transparent disclosure to ▪ establish your operation as a trusted source instead of merely another marketing image or social media post. In my earlier “Bad Pictures” article, I concluded: “Photography can be a tool to either conceal reality or inspire the action needed to return the ocean to a healthier state. Don’t just take pictures; take pictures with a purpose.” Butler and
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