AI ETHICS AND RESPONSIBLE USE POLICY

Last Updated: 18/May/2025 19:50

1. Introduction and Purpose

Innovatica Technologies FZ-LLC (“Innovatica,” “we,” or “our”) is a forward-thinking technology company specializing in artificial intelligence, custom software development, and strategic consulting. Through our Brilio platform (“Brilio” or the “Platform”), we enable users to build, maintain, host, and monetize AI Agents.

This AI Ethics and Responsible Use Policy (“Policy”) establishes the binding ethical framework and mandatory responsible use guidelines that govern the development, deployment, and use of artificial intelligence technologies within our Brilio platform.

The purpose of this Policy is to:

Establish clear ethical principles that guide our AI development and implementation
Define responsibilities for all stakeholders in our AI ecosystem
Provide transparency about our approach to ethical AI
Mitigate risks associated with AI technologies
Ensure compliance with applicable laws and regulations

This Policy should be read in conjunction with our other governing documents, including our Terms of Service, Privacy Policy, Data Retention and Deletion Policy, and Agent Content Guidelines.

2. Scope of Application

This Policy applies to:

Innovatica Technologies FZ-LLC and its employees involved in the development, implementation, and management of the Brilio platform
All users of the Brilio platform, including agent creators and users who interact with agents
Third-party service providers and partners that integrate with the Brilio platform
All AI Agents created, hosted, or deployed on the Brilio platform

3. Ethical Principles

Our AI ethics framework is built on the following core principles:

3.1 Human-Centered Approach. We design and develop AI systems with human welfare and wellbeing as our primary consideration. Our technology aims to help organizations turn complex challenges into opportunities by delivering intelligent, scalable, and secure solutions that drive real business value.

3.2 Respect for Human Autonomy. We respect human decision-making autonomy and design AI systems to augment human capabilities rather than replace human judgment in critical decision-making processes. Our platform clearly states that AI can make mistakes and that it is expected that users check results and apply due diligence before using the results.

3.3 Prevention of Harm. We are committed to developing AI systems that neither cause nor exacerbate harm or adversely affect human rights. While AI Agents can be used for private purposes or within companies for creating internal or external agents, we design our platform with technical safeguards and enforcement mechanisms to prevent, detect, and mitigate potential misuse, as further detailed in our Security Policy and Acceptable Use Policy.

3.4 Fairness. We strive to ensure that our AI systems treat all people fairly and do not discriminate against any individual or group. We acknowledge that representation in data and algorithm design impacts outcomes.

3.5 Transparency. We provide clarity about when AI is being used, what data sources are employed, and the limitations of our AI systems. We do not misrepresent our AI capabilities.

3.6 Privacy and Data Governance. We respect user privacy and implement robust data governance practices. We store data securely, following best industry practices, and provide users with control over their data, including the ability to request data deletion when they close their account.

3.7 Security and Robustness. Our Brilio platform is built on high security standards and is independently reviewed by security experts in the field to ensure that breaches cannot happen within platform components. All breaches that may occur on the cloud provider side are thoroughly investigated.

4. Transparency Commitments

4.1 AI Identification. We clearly disclose when AI is being used in our platform. The platform provides a clear statement that AI can make mistakes and that it is expected that users check results and apply due diligence before using the results.

4.2 Information About AI Systems. We provide accessible information about:

The capabilities and limitations of our AI Agents
The data sources used to train agents
How data is processed, transformed, and stored
The circumstances under which user data may be accessed by third-party providers
The methodology for evaluating and mitigating potential biases in our AI systems, including information about the representativeness of training data and the steps taken to address identified biases.

4.3 Explainability. Where technically feasible, we provide explanations about AI decisions in a manner appropriate to the context and user needs. We acknowledge that different levels of explainability may be required depending on the use case and potential impact.

4.4 Disclosure of Third-Party Services. We disclose the third-party services integrated with our platform, which may include payment gateways, analytics platforms, cloud services, LLM providers like OpenAI and Anthropic, and other external tools for performance monitoring, email delivery, and customer support.

5. Fairness and Bias Mitigation

5.1 Bias Recognition and Mitigation. We recognize that AI systems may reflect or amplify existing societal, historical, and statistical biases present in training data. We have implemented and continually improve the following specific procedures to:

Identify potential sources of bias in our AI systems
Mitigate identified biases through algorithmic adjustments and diversity in training data
Regularly test our systems for unfair bias
Clearly communicate that AI can make mistakes and that users should apply due diligence before using results

5.2 Inclusive Design. We design our AI systems with consideration for diverse user needs and contexts, striving to ensure they are accessible and beneficial to a wide range of users regardless of age, gender, disability, geographic location, or other characteristics.

5.3 Fair Treatment. We commit to designing AI systems that treat all individuals fairly, without privileging or disadvantaging any individual or group. Agent creators are responsible for setting up appropriate age restrictions for each agent.

5.4 Feedback and Improvement. We provide mechanisms for users to report any misuse of the platform, such as inappropriate agent names, and commit to acting on these reports within 72 hours.

5.5 Bias Reporting Mechanism. We provide a dedicated channel for users to report potential biases observed in our AI systems. Reports are reviewed by a specialized team that evaluates the reported issues and implements appropriate remediation measures. We commit to acknowledging such reports within 72 hours and providing updates on actions taken within 30 days.

6. Human Oversight and Intervention

6.1 Human-in-the-Loop Systems. Our platform is designed for interactive and dynamic conversations, enabling users to ask questions and receive personalized responses on various topics, create events/actions based on metrics, etc. We maintain appropriate human oversight throughout the AI lifecycle, including development, deployment, and use.

6.2 Oversight Mechanisms. We implement the following oversight mechanisms:

Regular security audits and vulnerability assessments conducted at least quarterly by qualified internal staff and annually by independent third-party security experts, as detailed in our Security Policy.
Review processes for agents prior to their release, including both automated checks for compliance with platform guidelines and manual review by the platform’s moderation team
Reporting features for users to flag problematic agents
Automated and manual content moderation techniques

6.3 Intervention Procedures. We employ automated and manual content moderation techniques to proactively identify and prevent harmful or inappropriate content from being published on the platform. Content violation reports submitted by users are typically reviewed within 24 to 48 hours.

6.4 Accountability for Human Decisions. We maintain clear accountability for decisions made by humans in the oversight process. Agents must not be used for any illegal, harmful, or unethical purposes. Our moderation team evaluates reported content and takes appropriate action, which may include removal, warning, or suspension depending on the severity of the violation.

7. Use Limitations for High-Risk Applications

7.1 Prohibited Uses. The Brilio platform and its AI Agents must not be used for any illegal, harmful, or unethical purposes. Prohibited use cases include, but are not limited to, generating or disseminating misinformation, promoting violence, or engaging in discrimination or harassment.

7.2 High-Risk Applications. We recognize that certain applications of AI technology carry heightened risks. For high-risk applications, including but not limited to those affecting health, safety, critical infrastructure, essential public services, law enforcement, migration, or fundamental rights, we strictly require:

Enhanced human oversight
Additional validation and testing
Clear disclosure of limitations
Specialized training for users

7.3 Age-Appropriate Design. Agent creators are responsible for setting up appropriate age restrictions per each agent. Brilio platform has no age restrictions (4+).

7.4 Enforcement. Any agent found violating these terms may be suspended or removed from the platform. User accounts may be suspended, subject to any detected misuse of Brilio resources, infrastructure, software, etc. without previous warning.

7.5 Prohibited High-Risk Uses. The following high-risk applications are expressly prohibited on the Brilio platform:

Automated decision-making systems that could lead to denial of essential services or benefits without meaningful human review
AI applications that could enable real-time biometric identification systems in publicly accessible spaces for law enforcement purposes
AI systems designed to manipulate human behavior to circumvent users’ autonomy
AI-based social scoring systems for general purposes by public authorities
Applications that could enable or facilitate the development of autonomous weapons systems

8. Accountability Framework

8.1 Responsibility Matrix. While content created by agents is primarily the responsibility of the agent creator, Innovatica maintains oversight responsibility for the platform’s operation. Agent creators are liable for intentional misuse and negligent provision of harmful information, subject to Section 8.5’s liability limitations. Innovatica retains responsibility for implementing reasonable technical safeguards and moderation systems as detailed in our Security Policy and Terms of Service.

Specifically:

Agent creators are responsible for ensuring they have necessary permissions to use agent data.
Brilio platform is not responsible for misuse or wrong information provided by an agent.
Agent creators are responsible for setting up appropriate age restrictions.
Agent creators agree to cover any costs or claims that arise from their use of third-party data or materials within the platform without necessary licenses.

8.2 Intellectual Property and Content Rights. The platform holds ownership of all AI-generated content and provides users with a license to use it within their agents. Licensing of the AI-generated content is non-exclusive, meaning it allows users to use AI-generated content as they see fit while keeping rights for the platform to use content to improve answers of other platform agents, using de-identified content from other accounts.

8.3 Documentation and Record Keeping. We maintain appropriate documentation regarding:

Data sources used for training agents
Security audits and vulnerability assessments
Actions taken in response to user reports
Content moderation decisions and appeals

8.4 Dispute Resolution. In the event of any disputes arising from the use of our platform, both parties agree to resolve the matter through binding arbitration, rather than through court proceedings. Arbitration will be conducted under the rules of a recognized arbitration body, such as the International Chamber of Commerce (ICC), and will take place in a mutually agreed location. The decision made by the arbitrator(s) will be final and legally binding.

8.5 Liability Limitations. Our liability for any claims arising from the use of the platform is limited to the amount paid by the user for the service in the 6 months preceding the claim. This limitation applies regardless of the cause of the claim, whether it is contractual, tortious, or based on other legal theories. However, nothing in this Policy shall exclude or limit our liability for:

death or personal injury resulting from our negligence;
fraud or fraudulent misrepresentation; or
any other liability that cannot be excluded or limited under applicable law.

9. Continuous Improvement Commitments

9.1 Monitoring and Evaluation. We implement systems to monitor agent performance and user feedback. Users have the ability to rate and review agents based on their experience. Ratings help improve agent quality by providing feedback to creators.

9.2 Research and Development. We invest in ongoing research and development to improve the ethical performance of our AI systems, including:

Easy incorporation of newly available components, such as LLMs, data parsing, processing, and transforming tools to allow the platform to evolve and stay up to date.
Addressing identified ethical issues in existing systems
Exploring new approaches to enhancing fairness, transparency, and accountability

9.3 Knowledge Sharing. We participate in industry knowledge-sharing initiatives to contribute to the advancement of ethical AI practices while respecting our intellectual property and competitive position.

9.4 Training and Awareness. We provide training resources for:

Platform users to understand AI limitations, with clear statements that AI can make mistakes and that users should check results and apply due diligence.
Agent creators regarding their responsibilities for data permissions and content quality.
Setting appropriate age restrictions for agents.

9.5 Environmental Impact. We are committed to minimizing the environmental impact of our AI systems. This includes:

Monitoring and optimizing the energy consumption of our AI infrastructure
Implementing energy-efficient algorithms where feasible
Utilizing renewable energy sources where available for our cloud infrastructure
Regularly reporting on our environmental impact and improvement measures through our corporate sustainability reporting

10. Stakeholder Engagement

10.1 User Feedback. We actively seek and incorporate user feedback to improve our platform. Users have the ability to rate and review agents based on their experience. Users have an ability to report any misuse of the platform, for example, for inappropriate agent names. Brilio support will act based on the report in not more than 72 hours.

10.2 Multi-Stakeholder Collaboration. We proactively engage with diverse stakeholders, including users, industry partners, civil society organizations, academia, affected communities, and regulators, through structured consultation mechanisms to incorporate varied perspectives into our AI ethics approach. We conduct formal stakeholder consultations at least annually and maintain ongoing feedback channels.

10.3 Public Communication. We communicate transparently about our AI ethics principles, practices, and challenges through appropriate channels, including our website, documentation, and direct user communications.

10.4 Appeals Process. Users who disagree with content removal decisions have the right to appeal. Appeals can be submitted through the platform’s designated support channels, where they will be reviewed by a senior moderation team. The outcome of the appeal will be communicated to the user within 5 business days.

11. Compliance and Enforcement

11.1 Regulatory Compliance. We adhere to relevant data protection regulations, including GDPR, CCPA, and others, ensuring that user data is processed in a secure and compliant manner. The platform operates with clients from all over the world, which means it has to align with all current laws, specifically EU/GDPR standards.

11.2 Internal Compliance Mechanisms. We implement processes to ensure compliance with this Policy throughout our organization, including:

Regular training for employees on AI ethics
Integration of ethical considerations into development workflows
Periodic security audits and vulnerability assessments to identify and mitigate potential threats

11.3 Enforcement Procedures. Any agent found violating our terms will be subject to a graduated enforcement approach:

For minor violations, the agent creator will receive a warning and be given 72 hours to remediate the issue;
For moderate violations or failure to remediate after warning, the agent will be temporarily suspended until compliance is achieved;
For severe violations or repeated non-compliance, the agent will be permanently removed from the platform and the user account may be suspended.

In cases where misuse affects platform security, stability, or other users’ experience, immediate action may be taken without prior warning, as determined by the Brilio platform governance team in accordance with our Acceptable Use Policy.

11.4 Reporting Mechanisms. Users have an ability to report any misuse of the platform, for example, for inappropriate agent’s names. Brilio support will act based on the report in not more than 72 hours. Users can report problematic agents via a dedicated reporting feature within the platform. Reports will be reviewed by our support and moderation teams, and actions such as warnings, suspension, or removal of the agent may be taken based on the severity of the issue.

12. Policy Updates and Revisions

12.1 Review Frequency. This Policy will be reviewed at least annually and updated as necessary to reflect changes in technology, legal requirements, and ethical best practices.

12.2 Change Management. For any significant changes to the platform, including major updates, feature removals, or system upgrades, we will provide users with a minimum 30 days’ notice. This notice will be communicated via email, in-app notifications, or other appropriate channels.

12.3 Notification of Updates. Notice of changes will be communicated via email, in-app notifications, or other appropriate channels. In cases of emergency or unforeseen circumstances, we may provide a shorter notice period but will make every effort to minimize disruption and ensure users are adequately informed.

12.4 Historical Versions. We maintain records of previous versions of this Policy and make them available upon reasonable request.

12.5 Governance Input. Major policy updates will be informed by input from our Ethics Advisory Board, which includes independent experts in AI ethics, law, and human rights. The Board’s recommendations and our responses will be documented and made available to users upon reasonable request.

13. Risk Management Framework

13.1 Risk Assessment Methodology. We employ a structured risk assessment methodology to identify, evaluate, and mitigate potential risks associated with our AI systems. This includes:

Regular risk assessments conducted prior to the deployment of new AI features
Continuous monitoring of deployed systems for emerging risks
Classification of risks based on severity and likelihood
Implementation of appropriate control measures based on risk level

13.2 Critical Risk Categories. Our risk assessment framework addresses the following critical risk categories:

Discrimination, bias, and fairness risks
Privacy and data protection risks
Security vulnerabilities
Safety risks
Transparency and explainability risks
Human agency and autonomy risks
Societal and environmental risks

13.3 Documentation. We maintain comprehensive documentation of our risk assessments, including identified risks, mitigation measures, and ongoing monitoring requirements. This documentation is available to regulatory authorities upon lawful request and is subject to periodic review by our compliance team.

13.4 Risk Mitigation Measures. Based on our risk assessments, we implement appropriate technical and organizational measures to mitigate identified risks, which may include:

Algorithmic modifications to address bias
Enhanced testing protocols for high-risk applications
Additional human oversight for sensitive decision processes
Implementation of explainable AI techniques where feasible
User controls and opt-out mechanisms for specific features
Specialized training for staff involved in AI development and oversight

13.5 Incident Response Plan. We maintain a detailed incident response plan for addressing unforeseen adverse impacts of our AI systems. This plan includes:

Clear escalation procedures
Designated response teams with specific responsibilities
Communication protocols for affected users
Procedures for system shutdown or rollback if necessary
Post-incident analysis and learning mechanisms

14. Alignment with International Standards and Regulations

14.1 Regulatory Compliance. In addition to adhering to general data protection regulations such as GDPR and CCPA, we monitor and align our practices with emerging AI-specific regulations, including:

EU AI Act requirements for high-risk AI systems
Regional and national AI governance frameworks
Sector-specific regulations applicable to our user industries

14.2 Technical Standards. We align our development practices with recognized technical standards for AI systems, including but not limited to:

ISO/IEC 42001 for AI Management Systems
IEEE standards for Ethically Aligned Design
NIST AI Risk Management Framework
Industry-specific standards relevant to our deployment contexts

14.3 Certification and External Validation. Where applicable, we seek external validation of our compliance with relevant standards through:

Formal certification processes by accredited bodies
Independent audits of our AI systems and processes
Participation in industry benchmarking initiatives
Voluntary compliance with emerging best practices

14.4 Cross-Border Considerations. We acknowledge that AI systems operate in a global context and therefore:

Consider geographic variations in regulatory requirements
Implement appropriate safeguards for cross-border data transfers
Monitor international developments in AI governance
Adapt our policies and practices to maintain compliance across jurisdictions

15. Contact Information

For questions, concerns, or feedback regarding this Policy, please contact us at:

Email: info@innovatica.ai
Phone: +971 509 083 742
Address: VUNE0632, Compass Building – Al Hulaila, Al Hulaila Industrial Zone-FZ, Ras Al Khaimah, United Arab Emirates

This AI Ethics and Responsible Use Policy is an integral part of our legal framework and should be read in conjunction with our Terms of Service, Privacy Policy, and other governing documents.

RISK DISCLOSURE STATEMENT

Last Updated: 18/May/2025 19:20

INTRODUCTION

This Risk Disclosure Statement (“Statement”) is provided by Innovatica Technologies FZ-LLC, a Free Zone Limited Liability Company registered in the United Arab Emirates with License No. 47020067 (“Innovatica,” “we,” “us,” or “our”). This Statement outlines important risks associated with the use of our Brilio AI platform (“Brilio” or the “Platform”) and its AI agents.

This Statement is part of our AI Ethics and Responsible Use Policy and our comprehensive legal framework. You should review this Statement alongside our other legal documents, including but not limited to our Master Terms of Service, Privacy Policy, and Acceptable Use Policy, which are available at brilio.ai.

PLEASE READ THIS STATEMENT CAREFULLY BEFORE USING BRILIO. By accessing or using Brilio, you acknowledge that you have read, understood, and agree to be bound by this Statement. If you do not agree with this Statement, please do not access or use Brilio.

This Risk Disclosure Statement should be read in conjunction with:

Master Terms of Service: brilio.ai/legal/terms
Privacy Policy: brilio.ai/legal/privacy
Acceptable Use Policy: brilio.ai/legal/acceptable-use
AI Ethics and Responsible Use Policy: brilio.ai/legal/ai-ethics
Data Processing Agreement: brilio.ai/legal/dpa
Agent Creator Agreement: brilio.ai/legal/agent-creator

These documents together form the complete legal framework governing the use of Brilio.

1. LIMITATIONS OF AI-GENERATED CONTENT

Brilio is an advanced AI platform that utilizes sophisticated technologies, including large language models and other AI capabilities. However, despite our commitment to quality and accuracy, you should be aware of the following inherent limitations:

1.1. AI Reasoning Limitations: AI systems, including those powering Brilio, do not “understand” information in the same way humans do. They use statistical patterns and associations to generate responses, which may sometimes lead to content that appears plausible but is factually incorrect.

1.2. Knowledge Constraints: AI systems can only provide information based on the data they have been trained on and the specific data you have provided to your agents. They may not have access to the most current information or specialized knowledge outside their training data.

1.3. Generative Uncertainties: AI-generated content may occasionally include fabricated information, citations, or sources (sometimes called “hallucinations”). This can occur even when the AI appears confident in its response.

1.4. Context Misinterpretation: AI systems may misinterpret nuanced queries or fail to grasp complex contextual elements, potentially leading to responses that do not fully address your intended question or need.

1.5. Output Variability: The same prompt or question may yield different responses at different times, depending on various factors including how the question is phrased and the specific configuration of the agent.

2. POTENTIAL ERROR CATEGORIES AND EXAMPLES

The following categories represent common types of errors or limitations that may occur when using Brilio:

2.1. Factual Errors:

Incorrect dates, statistics, or historical details
Misattributed quotes or statements
Inaccurate technical specifications or procedural information
Example: An agent providing outdated market statistics or incorrectly describing a technical process

2.2. Reasoning Failures:

Logical inconsistencies or fallacies
Incorrect causal relationships
Mathematical or computational errors
Example: An agent incorrectly analyzing a trend or making flawed recommendations based on misapplied logic

2.3. Content Gaps:

Omission of important information
Incomplete analysis or explanation
Failure to address key aspects of a query
Example: An agent providing partial information about regulatory requirements, potentially omitting critical compliance details

2.4. Bias and Fairness Issues:

Content reflecting societal biases present in training data
Unbalanced treatment of sensitive topics
Disparate performance across different demographic groups
Example: An agent providing recommendations that may unintentionally favor certain groups or perspectives

2.5. Reliability Inconsistencies:

Varying quality of responses depending on topic complexity
Inconsistent depth or accuracy across different domains
Example: An agent providing excellent responses on one topic but poor-quality information on another

3. HIGH-RISK USE CASE WARNINGS

The following use cases are considered high-risk, and we strongly advise against using Brilio for these purposes without appropriate human oversight, verification, and additional expert consultation:

3.1. Medical and Healthcare Decisions:

Diagnosis, treatment, medication recommendations, or other clinical decisions
Healthcare operations where errors could impact patient safety
Medical research or analysis without expert validation

3.2. Legal and Financial Advisory:

Legal advice or representation
Financial investment decisions or tax advisory
Contract drafting without professional review
Insurance underwriting or claims assessment

3.3. Critical Infrastructure and Safety Systems:

Control or management of critical infrastructure (energy, water, transportation)
Safety-critical systems where failures could lead to harm
Security applications where reliability is essential for protecting assets or people

3.4. Government Decision-Making:

Automated determinations affecting rights, benefits, or access to services
Law enforcement or judicial decision support without human oversight
Electoral or democratic process administration

3.5. Vulnerable Population Services:

Services directly impacting children, elderly, or other vulnerable populations
Educational assessments determining academic progression or opportunities
Social service eligibility or allocation decisions

4. VERIFICATION REQUIREMENTS FOR CRITICAL APPLICATIONS

For applications that involve significant consequences or risks, we recommend implementing the following verification processes:

4.1. Human-in-the-Loop Oversight:

Establish clear protocols for human review of AI-generated outputs before implementation
Define roles and responsibilities for verification at different stages
Document verification decisions and justifications

4.2. Multi-Source Validation:

Cross-verify information from multiple independent sources
Use diverse AI agents or systems to compare outputs
Consult appropriate human experts for confirmation

4.3. Systematic Testing and Evaluation:

Implement regular testing of agent outputs against verified data
Conduct adversarial testing to identify potential failure modes
Perform periodic audits of agent performance and accuracy

4.4. Documentation and Traceability:

Maintain records of AI outputs, verification processes, and decisions
Document the sources of information used by your agents
Establish audit trails for critical applications

4.5. Update and Revalidation Processes:

Regularly update agent knowledge bases with current information
Revalidate outputs when underlying conditions or requirements change
Implement version control for agent configurations and knowledge bases

5. RISK LEVELS BY INDUSTRY OR APPLICATION TYPE

We categorize potential uses of Brilio into the following risk levels. This classification should guide your approach to implementation, verification, and governance:

5.1. Low Risk (Minimal Due Diligence Required):

Creative content generation (non-commercial)
Personal productivity assistance
General information retrieval on non-sensitive topics
Internal brainstorming and ideation
Consumer entertainment applications

5.2. Moderate Risk:

Customer service automation
Content creation for commercial use
Business intelligence and trend analysis
Educational content development
Process documentation and knowledge management

5.3. High Risk:

Financial analysis and advisory
Healthcare information services
Human resources decision support
Regulatory compliance assessment
Product safety information

5.4. Very High Risk (Not Recommended Without Extensive Safeguards):

Medical diagnosis or treatment recommendation
Legal advice or representation
Critical infrastructure management
Autonomous decision-making affecting individual rights or access to services
Security or safety-critical applications

5.5. Prohibited Uses:

Any use violating our Acceptable Use Policy
Any illegal activity or purpose
Any use intended to harm, deceive, or manipulate others
Any use that could pose a risk to public safety or national security

6. RECOMMENDED DUE DILIGENCE PRACTICES

To mitigate risks associated with using Brilio, we recommend the following due diligence practices:

6.1. Agent Development and Training:

Carefully select and vet knowledge sources for agent training
Test agents thoroughly before deployment
Implement clear quality control processes for knowledge base updates
Document agent limitations and intended use cases

6.2. Implementation Safeguards:

Start with limited deployments before scaling
Implement appropriate user access controls
Establish clear boundaries for agent capabilities
Design interfaces that prevent misuse or overreliance

6.3. Ongoing Monitoring and Evaluation:

Regularly audit agent outputs for accuracy and appropriateness
Monitor user feedback and error reports
Track performance metrics and error rates
Conduct periodic risk assessments

6.4. Transparency Measures:

Clearly disclose to end users when they are interacting with AI
Communicate known limitations and appropriate use cases
Provide mechanisms for users to report issues or concerns
Document the sources of information used by your agents

6.5. Governance Frameworks:

Establish clear roles and responsibilities for AI oversight
Develop policies for handling identified issues
Create escalation protocols for high-risk situations
Regularly review and update risk management practices

7. LIABILITY LIMITATIONS FOR RELIANCE ON AI OUTPUTS

Please be advised of the following liability limitations regarding reliance on Brilio’s AI outputs:

7.1. No Warranty for Accuracy: While we strive to provide a high-quality service, Brilio is provided “as is” and “as available” without warranties of any kind, whether express or implied. We do not warrant that the information provided by Brilio will be accurate, complete, reliable, current, or error-free.

7.2. User Responsibility: You are solely responsible for evaluating and verifying any information, output, or suggestions provided by Brilio before implementing or relying upon them. You acknowledge that you are using Brilio at your own risk and discretion.

7.3. Limitation of Liability: As stated in our Terms of Service, our liability for any claims arising from the use of the Platform is limited to the amount paid by you for the service in the 6 months preceding the claim. We are not liable for any indirect, incidental, or consequential damages, including but not limited to loss of profits, reputation, or business opportunities, resulting from your use of or reliance on Brilio or its outputs.

7.4. Agent Creator Responsibility: For public agents created by third parties, the agent creator bears full legal and ethical responsibility for the content, accuracy, and compliance of their agent. Innovatica provides the platform infrastructure but is not responsible for the accuracy, quality, or appropriateness of content provided by third-party agents. Users interacting with third-party agents acknowledge this limitation and should exercise appropriate caution.

7.5. Indemnification: By using Brilio, you agree to indemnify, defend, and hold harmless Innovatica, its affiliates, and their respective officers, directors, employees, and agents from and against any and all claims, liabilities, damages, losses, costs, expenses, or fees (including reasonable attorneys’ fees) that arise from or relate to your use of Brilio, especially any actions taken based on information provided by Brilio.

7.6. AI Output Ownership: As detailed in our AI Output Ownership and Assignment Agreement, outputs generated by Brilio agents may be subject to specific intellectual property considerations. Users should be aware that:

Attribution requirements may apply when using AI-generated content
Certain jurisdictions may have evolving legal frameworks regarding AI-generated content ownership
Commercial use of AI outputs may require additional verification and due diligence

For more detailed information on liability limitations, please refer to our Terms of Service.

8. INDUSTRY-SPECIFIC RISK CONSIDERATIONS

Different industries face unique risks when implementing AI solutions. Below are considerations for key sectors:

8.1. Healthcare and Life Sciences:

Ensure compliance with healthcare regulations (HIPAA, GDPR, UAE Federal Law No. 2 of 2019 on the use of ICT in Healthcare, etc.)

Implement strict verification protocols for any health-related information
Clearly communicate that Brilio is not a medical device, is not FDA/EMA/UAE MoHAP approved, and is not intended for diagnosis
Maintain clear documentation of how AI outputs inform healthcare decisions
Consult regulatory experts before implementing in patient-facing contexts
Implement specific safeguards when processing any health-related personal data

8.2. Financial Services:

Comply with relevant financial regulations and consumer protection laws
Implement rigorous verification for financial advice or information
Ensure transparency in how AI-generated insights inform financial decisions
Monitor for potential biases in financial recommendations
Maintain detailed audit trails for regulatory compliance

8.3. Legal Services:

Never represent Brilio as providing legal advice
Implement attorney review of all AI-generated legal content
Use only as a research and drafting assistant, not as a substitute for legal expertise
Ensure compliance with legal ethics rules and unauthorized practice regulations
Maintain client confidentiality when using Brilio with client information

8.4. Education:

Verify educational content for accuracy and age-appropriateness
Implement safeguards against student misuse or overreliance
Ensure fair and unbiased assessment if used in educational evaluation
Consider student privacy regulations when implementing
Provide clear guidelines to students on appropriate use

8.5. Manufacturing and Engineering:

Validate any technical specifications or safety information
Never rely solely on AI for safety-critical decisions
Implement proper testing for any AI-influenced designs or processes
Maintain compliance with industry standards and regulations
Document all AI contributions to engineering decisions

8.6. Media and Content Creation:

Verify facts in AI-generated content before publication
Clearly attribute or disclose AI-generated content when appropriate
Implement editorial review processes for AI-assisted content
Monitor for potential copyright or intellectual property issues
Be transparent with audiences about AI use in content creation

8.7. Cross-Border Data Considerations:

Understand that Brilio’s infrastructure is primarily hosted in North Europe (Ireland)
Consider data residency requirements in your jurisdiction before uploading sensitive data
Be aware that cross-border data transfers may be subject to various regulations (e.g., EU-US Data Privacy Framework, national data localization laws)
Implement appropriate safeguards when transferring sensitive or regulated data to Brilio
Consult legal experts regarding compliance with local data sovereignty requirements

9. SPECIAL CONSIDERATIONS FOR BUSINESS USERS

Business users implementing Brilio across their organization should consider these additional risk factors:

9.1. Integration Risks:

Assess compatibility with existing systems and workflows
Plan for potential service disruptions during implementation
Consider data migration and integration challenges
Test thoroughly before widespread deployment

9.2. Organizational Readiness:

Evaluate staff training needs for effective and responsible AI use
Develop clear policies and guidelines for appropriate use
Establish governance structures for AI oversight
Consider change management requirements for successful adoption

9.3. Compliance Implications:

Assess industry-specific regulatory requirements
Ensure alignment with internal compliance frameworks
Consider cross-border data transfer implications
Document compliance measures for auditing purposes

9.4. Business Continuity:

Develop contingency plans for service interruptions
Consider dependencies created by AI integration
Implement appropriate backup and recovery processes
Maintain alternative operational procedures

9.5. Competitive and Strategic Risks:

Consider intellectual property protection for agent designs and knowledge bases
Assess potential impacts on workforce and organizational structure
Evaluate long-term maintenance and updating requirements
Monitor for changes in AI capabilities and market dynamics

9.6. Data Protection and Privacy Compliance: When using Brilio in contexts that involve personal data, users should:

Conduct data protection impact assessments (DPIAs) before implementing AI agents that process personal data
Establish appropriate legal bases for data processing under applicable laws (e.g., GDPR Article 6)
Implement appropriate technical and organizational measures to protect personal data
Ensure transparent communication with data subjects about AI use
Maintain records of processing activities involving AI systems
Consider automated decision-making restrictions in applicable jurisdictions

9.7. UAE-Specific Considerations:

Be aware of the UAE National AI Strategy 2031 requirements and ethical guidelines
Consider UAE Federal Decree-Law No. 45 of 2021 on Personal Data Protection when processing personal data
Align with the UAE AI Ethics Principles published by the UAE AI Office
Understand local regulatory frameworks for specific sectors (e.g., healthcare, finance)
Be aware that certain AI applications may require specific approvals in UAE regulatory sandboxes

10. AI ETHICS FRAMEWORK

Our approach to AI risk management is guided by our comprehensive AI Ethics Framework, which is based on the following principles:

10.1. Transparency: We strive to make our AI systems explainable and transparent where technically feasible, ensuring users understand the capabilities and limitations of the technology.

10.2. Accountability: We maintain clear lines of responsibility for AI outputs and impacts, both for Innovatica and for agent creators.

10.3. Fairness: We work to identify and mitigate biases in our AI systems and encourage users to implement appropriate safeguards.

10.4. Human Oversight: We design our systems to augment human capabilities rather than replace human judgment in critical decisions.

10.5. Privacy: We respect user privacy and data rights through appropriate data governance measures.

For detailed information on our AI ethics commitments and governance approach, please refer to our AI Ethics and Responsible Use Policy at brilio.ai/legal/ai-ethics.

11. CHILD SAFETY CONSIDERATIONS

While Brilio has no inherent age restrictions, special considerations apply when implementing AI systems that may be accessed by or impact children:

11.1. Agent Age Ratings: Agent creators must appropriately rate their agents and implement age-appropriate content controls.

11.2. Child-Directed Services: If developing agents specifically for children, users must comply with children’s privacy regulations including COPPA in the US and similar international requirements.

11.3. Educational Applications: AI agents used in educational contexts should incorporate appropriate safeguards, monitoring, and human oversight.

11.4. Content Filtering: Additional content filtering mechanisms should be implemented for agents likely to be accessed by children.

11.5. Reporting Mechanisms: Users should familiarize themselves with Brilio’s enhanced reporting mechanisms for content or interactions inappropriate for children.

Innovatica strongly recommends parental supervision when children interact with any AI system, including Brilio agents.

12. UPDATES TO THIS STATEMENT

We may update this Risk Disclosure Statement from time to time to reflect changes in our services, applicable laws, or best practices. The most current version will be posted on our website with the effective date. Your continued use of Brilio after such changes constitutes your acceptance of the updated Statement.

13. CONTACT INFORMATION

If you have questions about this Risk Disclosure Statement or need to report issues related to Brilio, please contact us at:

Innovatica Technologies FZ-LLC
VUNE0632, Compass Building – Al Hulaila
Al Hulaila Industrial Zone-FZ
Ras Al Khaimah, United Arab Emirates
Email: info@innovatica.ai
Phone: +971 509 083 742

14. GOVERNING LAW

This Risk Disclosure Statement shall be governed by and construed in accordance with the laws of the United Arab Emirates, without regard to its conflict of law principles. Any disputes arising under or in connection with this Statement shall be resolved through the dispute resolution mechanisms outlined in our Terms of Service.

ACKNOWLEDGMENT

By using Brilio, you acknowledge that you have read and understood this Risk Disclosure Statement, including the inherent limitations of AI technology and your responsibilities for verifying and appropriately using any outputs or information provided by the Platform.