AI & Technology Disclaimer

1. Purpose and Scope of This Disclaimer

• This disclaimer governs the use of artificial intelligence and automated technologies provided by Kuranko through https://kuranko.com/.
• It applies explicitly to all AI-generated information, strategic recommendations, risk assessments, option comparisons, and action plans created on the platform.
• Users acknowledge that the platform operates as a decision-support aid rather than an automated decision-maker making final choices on their behalf.
• The terms outlined here complement Kuranko’s existing Terms and Conditions, Privacy Policy, and other legal documents governing website usage.
• Continued use of the platform indicates your understanding and acceptance of these technological limitations, operational parameters, and risk disclaimers.

2. Nature of Artificial Intelligence

• The platform utilizes algorithmic systems to interpret user inputs, identify underlying patterns, compare available choices, and generate tailored suggestions.
• Artificial intelligence outputs are computationally generated based on statistical probabilities and pattern recognition rather than conscious thought, lived experience, or moral reasoning.
• Generated responses do not automatically represent verified factual truths, definitive expertise, or absolute professional judgement under any circumstances.
• The underlying models process data using complex computational frameworks that may occasionally produce unexpected results, interpretations, or logical leaps.
• Understanding the probabilistic nature of machine learning helps users contextualize insights and apply appropriate skepticism to automated suggestions.

3. AI-Generated Information and Recommendations

• Recommendations, analyses, and generated action plans provided by the platform may occasionally be incomplete, inaccurate, outdated, or contextually unsuitable for individual circumstances.
• AI systems operate without complete awareness of unstated variables, emotional nuances, local regulations, or rapidly shifting external environments.
• Users are strongly encouraged to independently evaluate all algorithmic outputs against real-world realities before taking any decisive action based upon them.
• Relying blindly on generated options without critical evaluation can lead to undesirable outcomes in personal, professional, or commercial endeavours.
• The platform serves to inspire, structure, and organise thinking rather than provide infallible answers or definitive blueprints for success.

4. Accuracy and Reliability Limitations

• Kuranko cannot guarantee, warrant, or promise that every generated output, comparison, or insight will be entirely accurate, complete, current, or reliable.
• Algorithmic systems are susceptible to data gaps, misinterpretations of ambiguous queries, logical inconsistencies, and unsupported conclusions.
• Missing context within user prompts can significantly reduce the relevance, accuracy, and overall utility of the generated recommendations.
• Technical limitations inherent to modern language models mean that hallucinations or plausible-sounding inaccuracies may occasionally be presented as facts.
• Users must treat all numerical estimates, timelines, and analytical conclusions as provisional hypotheses requiring verification through secondary sources.

5. Human Judgement and Independent Verification

• Human users retain sole responsibility and final accountability for evaluating recommendations, weighing evidence, and making ultimate decisions.
• Independent verification of important facts, underlying assumptions, mathematical calculations, and strategic conclusions is strongly advised at all times.
• Automated tools should augment human intelligence rather than replace critical thinking, experiential learning, and cautious deliberation.
• The convenience of rapid analysis must be balanced against the necessity of rigorous human oversight, particularly for high-stakes decisions.
• Accepting an AI-suggested path without personal scrutiny shifts the burden of consequence entirely onto the user implementing the recommendation.

6. No Professional Advice

• AI-generated outputs, structured comparisons, and action plans do not automatically constitute formal legal, medical, financial, investment, tax, employment, psychological, or other regulated professional advice.
• The platform does not establish a professional-client relationship or replace qualified human practitioners licensed in specific fields.
• Users facing complex legal, health-related, financial, or regulatory challenges must consult suitably qualified, certified professionals before acting.
• Relying on algorithmic guidance for specialized regulatory compliance or financial planning is done entirely at the user's own risk.
• Professional consultations provide contextual depth, liability protection, and bespoke expertise that automated systems cannot legally or practically replicate.

7. Personal, Career and Hiring Decisions

• AI-assisted career planning, recruitment comparisons, candidate assessments, and workplace restructuring initiatives carry specific operational and ethical limitations.
• Automated hiring support tools must be scrutinized for fairness, bias, relevance of evidence, and strict compliance with applicable employment and data-protection legislation.
• Personal career moves and performance evaluations require subjective human insight, cultural awareness, and emotional intelligence beyond algorithmic capability.
• Users managing human resources must ensure that human review remains central to all hiring, promotion, and disciplinary decisions.
• Relying solely on automated candidate profiling may overlook unique human potential, diverse backgrounds, and nuanced interpersonal skills.

8. Business, Project and Purchasing Decisions

• Commercial recommendations, project feasibility assessments, supplier comparisons, and purchasing suggestions may not account for every relevant market or operational factor.
• Business users must carefully consider financial budgets, contractual obligations, supply chain constraints, internal capabilities, and changing market conditions.
• Strategic plans generated by the platform require rigorous stress-testing against real-world commercial volatility and competitive pressures.
• Purchasing decisions involving significant capital expenditure should involve multi-departmental reviews and comprehensive due diligence beyond platform insights.
• Project timelines and risk forecasts generated automatically should be adjusted to reflect practical execution hurdles and unforeseen delays.

9. Risk Analysis and Predictions

• Risk assessments, vulnerability forecasts, scenario models, and projected outcomes provided by the platform represent estimated possibilities rather than guarantees.
• Actual future results may differ substantially from projected scenarios due to market volatility, human error, unforeseen crises, and changing circumstances.
• Predictive analytics rely on historical patterns which may not repeat themselves during unprecedented economic, social, or technological shifts.
• Users must maintain contingency plans and adaptive strategies rather than assuming predicted risks are exhaustive or mutually exclusive.
• Mitigation strategies suggested by the system require active management and continuous reassessment by competent operational teams.

10. User Inputs and Information Quality

• The quality, relevance, and accuracy of AI-generated outputs depend directly upon the clarity, completeness, and truthfulness of information supplied by users.
• Vague, ambiguous, or biased prompts will inevitably yield superficial, distorted, or unhelpful analytical responses from the platform.
• Users must avoid entering unnecessary confidential, proprietary, highly sensitive, or personally identifiable information into prompt fields.
• Maintaining data hygiene and providing structured, objective inputs helps maximize the analytical utility of the decision-making framework.
• Users are solely responsible for ensuring that the data they input does not violate confidentiality agreements, intellectual property rights, or privacy laws.

11. Third-Party Technology and External Services

• The platform's underlying functionality may rely upon various third-party technological components, software libraries, hosting infrastructure, and external APIs.
• Unforeseen outages, updates, compatibility issues, or limitations originating from third-party services may temporarily affect platform performance and availability.
• Kuranko does not endorse, control, or take legal responsibility for the independent performance, security standards, or policies of external technology vendors.
• Changes implemented by third-party technology providers may occasionally necessitate alterations to platform features, user interfaces, or analytical capabilities.
• Users acknowledge that reliance on interconnected digital ecosystems involves inherent dependencies outside the absolute control of the platform operators.

12. Availability and Technical Performance

• Software applications and artificial intelligence systems are inherently subject to technical interruptions, server downtime, maintenance windows, and transmission delays.
• Kuranko does not promise, guarantee, or warrant that the website or its AI services will operate continuously, securely, or without occasional errors.
• Network congestion, browser incompatibility, local hardware limitations, and internet connectivity issues can negatively impact user experience and response times.
• Routine system updates, maintenance upgrades, and emergency patches may temporarily restrict access to specific analytical tools and features.
• Users should maintain alternative methods for conducting critical decision-making tasks in the event of unexpected platform unreliability or downtime.

13. Privacy and Information Security

• Users should consult Kuranko's comprehensive Privacy Policy for detailed information regarding personal data processing practices and statutory privacy rights.
• While standard digital security measures are employed, absolute security of data transmission across the internet can never be fully guaranteed.
• Users must exercise caution and responsible judgment when handling confidential, proprietary, or sensitive personal information within digital environments.
• The platform does not warrant that stored prompt histories or generated insights are entirely immune to sophisticated cyber security threats or data breaches.
• Users retain responsibility for safeguarding their own account credentials, access tokens, and confidential operational documents.

14. Intellectual Property and AI-Generated Content

• AI-generated outputs, strategies, and text documents produced by the platform may require thorough originality and rights-related checks before external publication.
• Because machine learning models generate responses probabilistically, unique outputs may occasionally resemble existing third-party copyrighted materials.
• Users must verify that publishing or commercializing AI-assisted content does not infringe upon intellectual property, trademark, or licensing laws.
• Kuranko does not claim exclusive ownership over raw outputs generated specifically for users, but users accept responsibility for how they use those outputs.
• Legal vetting and editorial review are recommended before incorporating AI-generated reports into official corporate publications, marketing materials, or legal filings.

15. Contact Us

If you have any questions, concerns, or requests regarding this policy or our data practices, please reach out to us using the details below:

• E-mail for Support: [email protected]
• E-mail for General Inquires: [email protected]
• Physical Address:
  Kuranko
  SHINAGIA LTD
  Agiou Maronos 19, Lakatameia,
  2304, Nicosia, Cyprus
  Company Registration Number: HE 496070