Ethics and Data Privacy in Audio AI Applications Training Course

Foundations of Audio AI and Voice Data

• Operational mechanics of contemporary audio AI systems.
• Categorization of collected voice and sound data.
• Prevalent applications across various industries.

Privacy and Consent in Audio Data Acquisition

• The role of informed consent in voice-based technologies.
• Issues of incidental capture and bystander privacy.
• Handling opt-in and opt-out preferences.

GDPR and International Data Protection Frameworks

• Legal definitions applicable to audio data.
• Validating lawful bases for data processing.
• Data minimization, retention policies, and rights management.

Ethical Considerations in Audio Surveillance

• Risks associated with the misuse of voice data.
• Workplace monitoring and resulting power imbalances.
• Striking a balance between innovation and responsible oversight.

Bias, Fairness, and Accuracy in Speech AI

• Origins of bias within speech recognition models.
• Effects on diverse linguistic and demographic groups.
• Strategies for mitigating bias to ensure equitable audio AI.

Security and Data Protection Protocols

• Securing stored and transmitted audio data.
• Considerations for access controls and encryption.
• Response strategies for audio data breaches.

Procurement and Vendor Evaluation

• Assessing third-party audio AI providers.
• Key inquiries to make during the procurement process.
• Aligning solutions with internal organizational policies.

Implementing Responsible Audio AI Policies

• Formulating internal guidelines.
• Establishing accountability frameworks.
• Facilitating transparent communication with stakeholders.

Wrap-up and Future Actions