Effective Date: May 5, 2026
Issued by: Kalinklo Limited (Hong Kong SAR), operating as The Global Conservatory ("TGC", "we", "us", "our").
1. Our Position on AI in Music Education
The Global Conservatory views artificial intelligence (AI) as a tool to augment — not replace — human musical education, performance, and creative expression. We are committed to deploying AI ethically, transparently, and with full respect for the intellectual property rights of musicians, composers, performers, and educators.
This Policy aligns with the EU AI Act (Regulation 2024/1689), the NIST AI Risk Management Framework, OECD AI Principles, and emerging best practices in educational AI ethics.
2. Scope
This Policy applies to:
- All AI-powered features within TGC's curriculum (NextGen Music & AI division: AI-Assisted Composition, AI Voice Modeling, AI for Practice & Feedback, etc.)
- All AI tools deployed by TGC faculty in their teaching
- All AI-driven systems used for student matching, recommendation, scheduling, and assessment
- All AI-related research, development, and curriculum content produced by TGC
3. Core Principles
3.1 Human Primacy
AI is a tool, not a teacher. Every meaningful music-education judgment — admission decisions, audition outcomes, certificate issuance, performance evaluation — is made by a qualified human educator. AI may surface information or shortlist candidates, but a human always reviews and decides.
3.2 Transparency
Students, faculty, and parents have the right to know when AI is being used. Where AI generates feedback, transcribes performance audio, scores improvisations, or recommends repertoire, TGC clearly labels the AI involvement and provides the option to opt out.
3.3 Consent
No student's voice, instrumental performance, written work, or likeness will be used to train AI systems without explicit, informed, opt-in consent. Consent is refreshed annually and may be withdrawn at any time. Default settings are opt-out.
3.4 Intellectual Property Respect
TGC commits to:
- Using AI training data sourced from properly licensed corpora or public-domain works
- Not training AI on copyrighted recordings without rights-holder consent
- Compensating composers and performers when their work contributes to TGC AI training datasets
- Disclosing AI tool provenance to faculty and students using TGC AI features
3.5 Bias & Fairness
AI systems can encode and amplify cultural, linguistic, and stylistic bias. TGC commits to:
- Auditing AI tools for bias against under-represented musical traditions, dialects, instruments, and ensembles
- Maintaining a diverse training-data review board including faculty from World Music, Indian Classical, African Music, Latin Music, Middle Eastern, Celtic, and Sacred Music divisions
- Publishing a public bias audit summary annually starting 2027
3.6 Privacy & Data Minimization
AI processing of student data follows the data-minimization principle. We collect only what is needed for the stated AI task, retain it only as long as needed, and do not link AI training data to identifiable individuals without explicit consent.
3.7 Safety & Robustness
TGC AI tools undergo testing for unsafe outputs before deployment. Faculty and students may report AI errors, hallucinations, or unsafe outputs to ai-ethics@theglobalconservatory.com.
3.8 Human Oversight
Any consequential AI-driven decision (admission, scholarship, certification, etc.) includes a human-review step in which a qualified educator can override the AI recommendation. Students have the right to request a human review of any AI-influenced decision under GDPR Article 22 and equivalent frameworks.
4. Specific Use Cases
AI-Assisted Composition (NextGen division)
Students using TGC's AI composition tools retain full ownership of their compositional output. The AI is a collaborator, not a co-author. Students attribute AI tool use in submissions where required for academic integrity.
AI Voice Modeling & Vocal Synthesis (NextGen division)
Voice cloning of any individual requires that individual's explicit, written, ongoing consent. Vocal synthesis based on copyrighted recordings is prohibited.
AI for Practice & Feedback
AI feedback on student practice (intonation, rhythm, dynamics, articulation) is treated as a coaching aid only. Faculty review and contextualize all AI feedback before relaying it to the student.
AI in Admissions Screening
AI is NOT used as the sole decision-maker for any admissions or audition outcome. AI may pre-screen applications for completeness, flag obvious technical issues, or surface high-priority candidates, but every admissions decision is made by a human committee.
5. Prohibited Uses
TGC will not deploy or condone:
- AI surveillance of student behavior outside of explicitly-scheduled coursework
- Emotion recognition or affect inference for assessment or admissions
- Generative AI to fabricate testimonials, alumni outcomes, or marketing claims
- AI generation of "deepfake" performance recordings without consent
- Selling student practice or performance data to AI training providers
6. Faculty Use of External AI Tools
TGC faculty may use external AI tools (large language models, music generation APIs, transcription tools) to support their teaching, with the following obligations:
- Disclose to students when AI assistance is used in lesson planning, repertoire suggestions, or feedback
- Verify factual accuracy of any AI-generated material before sharing with students
- Not paste student personally-identifying information into external AI services
- Comply with the licensing terms of any third-party AI service used
7. Student Rights Regarding AI
Every TGC student has the right to:
- Know when AI is being used in their education
- Opt out of AI-driven feedback, recommendation, or assessment systems
- Request a human review of any AI-influenced decision affecting them
- Request that their data not be used for AI training (default opt-out)
- Receive an explanation of how an AI system reached a particular output where that output affects them
8. Reporting AI Concerns
To raise concerns about AI use at TGC — whether about bias, error, consent, or any other issue — contact ai-ethics@theglobalconservatory.com. We will acknowledge within 5 business days and respond with a substantive review within 30 days.
9. Updates to This Policy
The AI landscape changes rapidly. This Policy is reviewed and updated at least every 12 months, and at any time material changes are required by law or best practice. The "Effective Date" reflects the most recent revision.
10. Contact
For all AI ethics inquiries: ai-ethics@theglobalconservatory.com
For privacy-specific inquiries: privacy@theglobalconservatory.com