Our Philosophy
The low-altitude economy moves at light speed. So do we. That’s why businessaviation.aero uses Generative AI tools to keep pace with an industry that writes the rulebook as it flies.
AI doesn’t write our stories or make editorial decisions. Think of it as the world’s most capable research assistant and copy editor rolled into one. The technology helps us gather information faster, refine our prose, and deliver content across multiple platforms without compromising our editorial voice, covering everything from eVTOL certification to urban air mobility infrastructure. Human journalists, editors, and subject matter experts maintain control over all editorial decisions, story selection, source vetting, and final content approval.
How We Use AI
Content Preparation and SEO
We use AI to support the nuts and bolts of content assembly, including search engine optimization, keyword research, and content briefs. The technical details that make our eVTOL stories findable don’t make them readable. Every piece still gets human editorial review before publication. AI suggestions for headlines, metadata, and keyword optimization undergo editorial assessment to ensure accuracy and avoid misleading characterizations of complex technical or regulatory developments.
Grammar and Style Assistance
AI gives our content an initial once-over for grammar and style consistency. A real editor always does the final review. We’ve learned that AI catches typos but struggles to capture the nuance of whether a startup’s latest announcement represents genuine progress or just another pivot. Our editors verify that automated corrections don’t alter technical terminology, regulatory language, or industry-specific usage that general-purpose language models might flag incorrectly.
Multi-Platform Content Creation
One story, multiple formats. AI helps us create summaries, social media versions, and newsletter snippets from our main articles. Each version gets tailored for its platform, whether that’s LinkedIn posts for eVTOL executives or Twitter threads for aviation enthusiasts.
However, each version is reviewed by the editorial team before publication. Our editors verify that condensed versions maintain technical accuracy, preserve essential context about regulatory requirements or safety considerations, and don’t oversimplify complex developments in ways that could mislead readers. When AI-generated summaries omit critical caveats or qualifications present in full articles, editors restore that context or adjust the summary accordingly.
Research and Information Gathering
The low-altitude economy generates massive amounts of data, including certification milestones, funding rounds, regulatory changes, technological developments, and urban air mobility trials. AI helps us sift through this vast ocean of information to find the stories that matter to you.
AI tools scan regulatory filings, press releases, financial disclosures, research publications, and industry announcements to surface potentially newsworthy developments. But here’s the critical part: we fact-check everything. AI identifies the lead on a new eVTOL prototype or certification milestone, but our reporters and editors verify the claims through the verification protocols detailed below.
Archive Search and Content Discovery
We’ve been covering advanced air mobility since before most people knew what eVTOL meant. AI helps us search our archives to surface relevant background information and connect current stories to historical context. The technology functions like having instant institutional memory of every startup pivot, every certification delay, and every infrastructure announcement. Editors review AI-suggested connections to ensure historical comparisons remain accurate and relevant to current developments.
Verification Protocols
When AI tools surface information for potential story development or fact-checking, our editorial team follows these verification procedures:
Primary Source Verification: Claims about certification milestones, regulatory approvals, or technical specifications must be verified against primary sources. For aviation certifications, we check directly with relevant authorities (FAA, EASA, CAAC). For funding announcements, we verify through SEC filings, official company statements, or direct confirmation from involved parties. For technical specifications, we confirm through manufacturer documentation, published test data, or direct communication with company representatives.
Multi-Source Confirmation: Breaking news, particularly about incidents, accidents, regulatory enforcement, or significant business developments, requires confirmation from at least two independent sources before publication. When only single-source confirmation proves possible, we clearly attribute the information and note the limitation.
Expert Review: Technical claims about aircraft performance, safety systems, regulatory compliance, or operational capabilities that fall outside our reporters’ direct expertise are reviewed by subject-matter experts. We maintain relationships with aviation engineers, test pilots, regulatory specialists, and industry veterans who can assess whether AI-surfaced technical claims align with engineering reality and industry standards.
Context Assessment: AI tools sometimes surface accurate individual facts that lack proper context or perspective. Editors assess whether AI-identified information requires additional context about industry norms, regulatory history, competitive landscape, or technical feasibility before publication. For example, range and payload specifications mean little without context about battery technology maturity, charging infrastructure availability, and regulatory operating limitations.
Temporal Verification: The low-altitude economy suffers from repeated delays and timeline adjustments. When AI surfaces claims about projected timelines, certification dates, or market launch schedules, we verify current status and note any changes from previous projections. We distinguish between aspirational targets and achieved milestones.
Correction Protocol: When AI-assisted research contributes to published errors, we follow the same correction procedures we apply to all journalism: prompt acknowledgment, precise correction notation, and analysis of what went wrong to prevent recurrence. We track AI-related errors separately to identify patterns and adjust our protocols accordingly.
Disclosure Standards
Transparency matters. You deserve to know when AI plays a substantial role in content creation. We apply these disclosure standards:
AI-Generated External Content: When we publish market projections, comparative analyses, technical specifications, or other content generated by external AI systems (such as market research firms’ AI-generated forecasts or manufacturers’ AI-generated performance comparisons), we mark this clearly with disclosure language like “The following analysis was generated using AI tools” placed immediately before the content. These disclosures appear in article text, not just metadata or footnotes.
Substantial AI Research Contribution: When AI tools surface the core information or identify the primary sources for a story (rather than simply helping search our archives or scan routine announcements), we include disclosure language such as “AI research tools assisted in identifying source materials for this report.” This distinguishes between AI-assisted and AI-originated research paths.
Standard Operations: Routine AI use for grammar checking, SEO optimization, archive search, and multi-platform reformatting does not trigger disclosure requirements. These functions serve the same purpose as traditional copyediting, CMS tools, and content management processes.
Visual and Multimedia Content: Any AI-generated images, graphics, or multimedia elements must be clearly labeled as “AI-generated” in captions or credit lines. We do not use AI-generated imagery to depict real people, actual aircraft, or specific locations in ways that could mislead readers about authenticity.
Privacy and Data Protection
AI tools process information during research and content preparation. We maintain these safeguards:
Our AI tools do not process confidential source communications, off-the-record conversations, or embargoed information. Reporters continue to handle sensitive source relationships and confidential materials through traditional secure channels.
When AI tools process regulatory documents, company filings, or public records, we ensure compliance with data protection requirements and respect legitimate privacy interests, even in publicly available documents. We exercise the same editorial judgment about what to publish from AI-processed documents as we apply to human-researched materials.
We do not use AI tools to generate synthetic quotes, create fictional scenarios, or simulate expert opinions. All quotes and expert commentary come from real people speaking on the record or under agreed attribution terms.
Governance and Evolution
Responsible Parties: Our Executive Editor is responsible for overall AI policy implementation and compliance. The Managing Editor conducts monthly reviews of AI tool usage across the newsroom and identifies issues requiring policy adjustment. Individual editors remain responsible for ensuring their teams follow these protocols in daily operations.
Quarterly Reviews: We conduct formal AI policy reviews each quarter, examining new tool capabilities, assessing whether current protocols remain appropriate, reviewing any AI-related errors or issues, and adjusting procedures as needed. These reviews include feedback from reporters, editors, and readers about how AI integration affects content quality and newsroom operations.
Staff Training: All editorial staff receive initial training on these AI protocols before using AI tools in their work. We conduct refresher training when introducing new AI capabilities or updating procedures. Training emphasizes verification requirements, disclosure standards, and the importance of human editorial judgment in assessing AI output.
Tool Evaluation: Before deploying new AI tools in editorial operations, we assess accuracy and reliability for journalism applications, evaluate potential bias or systemic errors, confirm compatibility with our verification protocols, and ensure adequate transparency about how the tools function. We maintain documentation of approved AI tools and their authorized uses.
Reader Feedback: We welcome reader questions and concerns about our use of AI. Contact us directly at [contact method] if you have questions about how AI contributed to specific articles or about our policies generally. Substantive reader concerns receive review and response from editorial leadership.
Editorial Standards and Human Oversight
Our commitment to accuracy and editorial independence doesn’t change because we use new tools. We treat AI output like any other source material. The technology needs verification, context, and editorial judgment.
Our journalists still make all the calls about what’s newsworthy and how to tell the story of an industry where hype and reality often blur together. AI might help us work faster, but speed means nothing without accuracy. Every story still answers to the same standards: Is it true? Is it fair? Is it complete? Did we verify it properly? Does our audience need to know it?
The advanced air mobility industry adopts new technologies to make operations safer, more efficient, or more scalable. We apply the same standard to our use of AI. The technology makes us faster and more thorough, but it doesn’t replace the human expertise that understands the unique challenges and opportunities of this industry.
Policy Updates
This policy took effect on March 15, 2024, and was last updated on November 8, 2025. We will update this page when we make substantive changes to our AI use practices or policies. The policy reflects current AI capabilities and journalism practices, but will continue to evolve as technology and industry standards evolve.
Our core mission remains constant: delivering accurate, timely, and relevant coverage of the low-altitude economy and the advanced air mobility industry that you depend on.
