KITALA TERMS AND CONDITIONS

1. ACCEPTANCE OF TERMS

By registering an account, accessing, or using the Kitala platform, you ("The User") agree to be bound by these Terms and Conditions. These terms govern the relationship between YUX and three categories of users: Clients (Entities seeking data services), Annotators or Participants (Individuals providing data labeling), and Quality Assurance Specialists (QAs) (Individuals validating data).

2. THE KITALA MISSION AND ETHICAL MANDATE

Kitala is more than a technical tool; it is a Cultural AI Lab initiative. All users acknowledge that the platform's primary goal is to empower African talents and organizations by creating digital products adapted to African contexts.

• Authenticity: We prioritize "lived experience" over generic data.
• Inclusion: We aim to bridge the digital divide by representing diverse dialects and local norms.
• Responsible Extraction: We prohibit any data collection practices that exploit or misrepresent local communities.

3. USER ROLES AND RESPONSIBILITIES

3.1. For Annotators and QAs (The "Contributors")

• Linguistic & Cultural Competence: You certify that you are a native or expert speaker of the target language/dialect and possess deep familiarity with the local social context of the assigned task.
• Human-Centric Work: You agree to perform tasks manually. The use of external LLMs (e.g., ChatGPT, Claude) to generate responses is strictly forbidden unless the specific task instructions explicitly require AI-assisted workflows.
• Quality Standards: QAs are held to a secondary layer of accountability. Failure to identify inaccuracies or "hallucinations" in the data may result in task rejection.
• Fair Remuneration: YUX commits to transparent pay scales. Payment is based on "Approved Tasks." YUX reserves the right to withhold payment for fraudulent, AI-generated, or substandard work.

3.2. For Clients (The "Partners")

• Purpose of Use: Clients agree to use the datasets generated on Kitala exclusively for the development of AI systems that promote innovation, inclusion, or sustainability.
• Prohibited Content: Clients shall not request the annotation of illegal, harmful, or exploitative content.
• Feedback Loop: Clients are encouraged to provide feedback on the cultural relevance of the data to help YUX refine its localization methodologies.

4. INTELLECTUAL PROPERTY (IP)

• The Platform: All software, algorithms, UI/UX design, and methodologies underlying Kitala remain the exclusive property of YUX.
• The Work Product: Upon full payment of project fees, the specific annotated dataset created for a Client shall be licensed to that Client. However, YUX retains the right to use anonymized metadata and "learned cultural patterns" to improve the platform's general localization frameworks.
• Attribution: In line with our mission of "Acknowledgment," YUX reserves the right to publicly mention the partnership with Clients, unless a formal Non-Disclosure Agreement (NDA) states otherwise.

5. CONFIDENTIALITY AND NON-DISCLOSURE

5.1. Definition of Confidential Information

As a user of Kitala, you will be granted access to proprietary and sensitive information that is not available to the public. "Confidential Information" includes, but is not limited to:

• Project Meta-Data: Project titles, brief descriptions, scope of work, and internal project IDs.
• Stakeholder Identities: Names of YUX Clients, partner organizations, and affiliated research institutions.
• Research Scenarios: Use-case scenarios, personas, ethnographic prompts, and medical or financial situational protocols provided for annotation.
• Dataset Architecture: Dataset names, structural schemas, labeling taxonomies, and the specific logic used to organize cultural data.
• Dataset Items: The individual units of data (text, audio, or images) provided for annotation, including raw conversational data and refined expert inputs.
• Technical Logic: Proprietary guidelines, scoring rubrics, and the "evaluation frameworks" used to measure AI cultural competence.

5.2. Obligations of Non-Disclosure

Every user (Client, Annotator, and QA) agrees to the following strict prohibitions:

• No Distribution: You shall not copy, duplicate, download, screenshot, or record any portion of the Kitala interface or the Confidential Information contained therein.
• Digital Footprint: You are strictly prohibited from sharing project details, client names, or specific dataset items on social media (LinkedIn, Twitter/X, etc.), personal portfolios, or public forums.
• Third-Party Discussion: You may not discuss the specific nature of your tasks or the data you encounter with any third party, including family members, colleagues, or other platform users, except through authorized internal Kitala communication channels.
• Work Environment Safety: Annotators must ensure that their screens are not visible to unauthorized persons while working on high-stakes datasets (e.g., medical protocols or financial data).

5.3. Duration of Confidentiality

The obligation to maintain confidentiality remains in effect indefinitely, even after you have completed a specific task or closed your Kitala account. The proprietary nature of localized datasets is a permanent asset of YUX and its clients.

5.4. Consequences of Breach

YUX maintains zero tolerance for confidentiality violations. Any suspected or proven breach will result in:

• Immediate Termination: Permanent revocation of access to the Kitala platform and all associated YUX projects.
• Forfeiture of Payment: Total loss of any pending or accrued earnings for the project associated with the breach.
• Legal Action: YUX reserves the right to pursue civil and criminal litigation for damages, including seeking injunctive relief and monetary compensation under the laws of the operating jurisdiction.
• Reporting: In cases of professional misconduct, YUX may report the breach to relevant professional bodies or institutional partners.

6. DATA PRIVACY AND SECURITY

6.1. Introduction to Data Processing

Kitala, developed by YUX, is committed to the highest standards of data protection. This section explains how we collect, use, and protect your personal data in our capacity as both a Data Controller (for platform users) and a Data Processor (for Client-driven projects).

6.2. Categories of Data Collected

• Personal Identification Information: Full names, email addresses, phone numbers, and professional affiliations.
• Professional & Biographical Data: CVs, years of experience, specific roles, and institutional links to verify cultural and technical expertise.
• Demographic & Diversity Indicators: Information regarding country of residence, region, and gender, typically processed in aggregate to ensure diverse representation in AI datasets.
• Financial & Banking Data: Securely collected for the sole purpose of processing task-based payments, grants, and maintaining financial accountability.
• Contractual & Legal Data: Record of signatories, compliance documentation, audit logs, and agreement history.

6.3. Legal Basis for Processing

• Consent: You have provided express permission for us to process your data for specific tasks or platform features.
• Contractual Necessity: Processing is required to fulfill our obligations to you, such as processing payments or managing project workflows.
• Legitimate Interests: Processing is necessary for the improvement of the platform, security monitoring, and institutional learning.

6.4. Data Security Measures

• Anonymization & Pseudonymization: We strip personally identifiable information (PII) from research datasets wherever possible before they are shared with clients or the Cultural AI Lab.
• Encryption: All data is encrypted both in transit (using industry-standard TLS) and at rest within our secure databases.
• Access Controls: Strict multi-factor authentication and role-based access controls ensure that only authorized personnel can view sensitive data.
• Regular Assessments: We conduct periodic security audits and training for all staff and contributors on data protection protocols.

6.5. Your Rights as a Data Subject

• The Right to Information: To be informed of exactly how your data is being used within our AI evaluation pipelines.
• The Right of Access: To request a copy of the personal data we hold about you.
• The Right to Rectification: To correct any false or misleading information in our records.
• The Right to Erasure (The "Right to be Forgotten"): To request the deletion of your personal data when it is no longer necessary for the purposes for which it was collected.
• The Right to Object: To object to the processing of your data for specific research or commercial purposes.

6.6. Data Retention Policy

We retain personal data only for as long as necessary to fulfill the purposes outlined in this policy, typically for a period of up to six (6) years to comply with financial and legal auditing requirements, unless a shorter period is mandated by specific project agreements.

7. LIMITATION OF LIABILITY

• Model Outcomes: While Kitala ensures high-quality localized data, YUX is not responsible for the ultimate behavior of AI models trained on this data. The Client assumes all risks regarding the deployment and safety of their final AI products.
• Platform Availability: YUX aims for 99% uptime but does not guarantee that Kitala will be uninterrupted or error-free.

8. TERMINATION OF ACCOUNT

YUX reserves the right to suspend or ban any user without prior notice if:

• They engage in "Data Poisoning" (intentionally providing false information).
• They use automated bots to simulate human work.
• They violate the ethical spirit of the African AI Sovereignty mission.

9. GOVERNING LAW

These terms are governed by the laws of the United Arab Emirates where YUX Design is legally registered, without regard to its conflict of law principles. Any disputes shall be settled through amicable negotiation, or failing that, through arbitration.