AI POLICY
Guest Trip Ltd integrates AI to enhance efficiency across operational processes and systems while upholding ethical, transparent, and compliant practices. Our AI policy balances technical governance (how AI tools operate) with ethical, operational, and regulatory compliance (how our company uses or manages AI responsibly within maritime and data-sensitive environments).
​1. Purpose & Scope
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Purpose: We ensure responsible, transparent, and lawful use of AI applications, platforms, systems or tools within Guest Trip Ltd products or SaaS models (e.g. charter broker CRMs, or guest-experience apps or charter itinerary systems).
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Scope: Applies to all AI applications, modules, integrations, and decision-support systems developed, implemented, managed or monitored by Guest Trip.
We use AI tools in the following areas:
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Design and Branding: AI-assisted graphic design templates or tools.
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Content Creation: Copywriting, image generation, video editing, audio or voiceover enhancement. When required, we’ll credit AI datasets, platforms or tools used in content creation. We do not use AI to replicate logos, brand identities, personal or corporate likenesses without explicit permission. AI-generated imagery will be labeled or disclosed when used in public-facing advertising campaigns.
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Client Engagement: Crew/guest analytics, charter itinerary creation and personalisation.
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Market Research: Trend analysis to monitor public communication and online mentions, sentiment tracking to measure brand reputation and track product sentiment. Results are used only to improve user experience and guide marketing and PR, not to profile or penalise individuals. We avoid using AI tools that scrape or mimic competitor content.
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2. Ethical Principles
Our core commitments and guiding values:
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Transparency – AI-generated content, data, predictions or reporting must be explainable and traceable. We will disclose where AI is used in our products or services.
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Accountability – Human oversight remains in all automated decisions.
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Fairness – We monitor and avoid bias, discrimination and inequality in data models or AI-generated outcomes (e.g., guest analytics, itinerary suggestions). The aim is to ensure training data or automated decisions does not disadvantage specific categories or demographic groups based on age, gender identity, disability, race or other characteristics.
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Data Privacy & Security – Respect of customer, partner, stakeholder and vessel data collection, data consent, storage and use, complying with GDPR and ISO 27001 frameworks. Raw data is never sold or shared externally. Refer also to our Privacy Policy regarding data collection and consent.
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Compliance – Aligns with EU AI Act, GDPR, IMO maritime regulations, ISO 27001 standards.
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Risk Assessment & Mitigation – Identify and mitigate risks associated with AI, particularly those related to system security, physical safety of crew, guests, employees or vessels, and the prevention of unauthorised access or misuse. Automated notifications flagged for audit review if influencing safety or financial outcomes.
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3. Human Oversight & Operational Control
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All AI outcomes, recommendations or automated decision-making (charter itinerary routings, content creation for social media, newsletters or our website, maintenance, guest analytics) require human oversight before execution. This includes modifying and monitoring content so it aligns with the highest standards of integrity, responsibility and transparency.
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4. AI Literacy & Training
In adherence with Article 4 of the EU AI Act, Guest Trip has taken and will continue to implement ongoing measures to guarantee that our employees have a sufficient level of awareness of AI ethics and literacy, taking into account their education, experience, technical knowledge, and training as well as the environment in which any AI applications, platforms, systems or tools will be utilised.
All marketing and communication employees receive annual training on ethical AI use.
Completed training includes:
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AWS Skill Builder: “Introduction to Responsible AI” and “Responsible Artificial Intelligence Practices”
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Google Cloud Skills Boost: “Introduction to Generative AI” and “Introduction to Responsible AI”
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OpenAI Academy - ChatGPT Fundamentals, Voice-enabled ChatGPT
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Microsoft Learn - Introduction to AI concepts
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LinkedIn Learning – Responsible AI
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MinnaLearn, KU Leuven and the University of Helsinki - Elements of AI
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DeepLearning AI, Andrew Ng, Coursera - AI for Everyone
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Nicola Lucchi’s Report - Generative AI and Copyright: Training, Creation, Regulation (European Parliament 2025) PE 774.09
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5. Compliance
We align with:
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GDPR (EU General Data Protection Regulation)
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European Union Artificial Intelligence Regulation (as applicable; specifically Article 4 of the EU AI Act)
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The OECD Recommendation on AI / OECD AI Principles
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ISO 27001 Framework
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We also mandate all third-party partners to meet equal AI compliance standards, with signed declarations of ethical and data handling compliance.
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6. Governance & Review
Policy Owner: Guest Trip Ltd Founder Adam Cornelius
Review Cycle: Every 6 months for auditing, compliance and testing with AI system classification. Update policy based on legal or technological changes.
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Low-Risk AI: Charter itinerary optimisation.
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Medium-Risk AI: Guest preference analytics, predictive analysis for provisioning.
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High-Risk AI: Crew or guest monitoring, safety alert automation.
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Annual “Responsible AI Report” summarising key findings, risk assessment, and improvements.
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Incident Reporting & Feedback: Concerns about AI misuse or ethical breaches should be reported to: info@guest-trip.com Reports will be reviewed within 10 business days. Feedback from clients and partners is welcomed to improve our responsible AI standards.
This Policy and any subsequent revisions will be subject to approval by the Founder of Guest Trip Ltd.
Version 1.0 approved by the Founder on 20th October 2025