Ethics and Data Privacy in Audio AI Applications Training Course

Introduction to Audio AI and Voice Data

• Understanding how modern audio AI systems operate.
• Types of voice and sound data typically collected.
• Common applications across various industries.

Privacy and Consent in Audio Data Collection

• The role of informed consent in voice-based technologies.
• Addressing unintentional capture and bystander privacy.
• Managing opt-in and opt-out requirements effectively.

GDPR and Global Data Protection Frameworks

• Legal definitions relevant to audio data.
• Establishing lawful bases for processing.
• Data minimisation, retention policies, and rights management.

Ethical Risks in Audio Surveillance

• Preventing the potential misuse of voice data.
• Navigating workplace monitoring and power asymmetries.
• Balancing innovation with responsible oversight.

Bias, Fairness, and Accuracy in Speech AI

• Identifying sources of bias in speech recognition models.
• Understanding the impact on different linguistic and demographic groups.
• Implementing mitigation strategies for equitable audio AI.

Security and Data Protection Measures

• Safeguarding stored and transmitted audio data.
• Considerations for access controls and encryption.
• Incident response protocols for audio data breaches.

Procurement and Vendor Assessment

• Evaluating third-party audio AI providers.
• Key questions to ask during the procurement process.
• Ensuring alignment with organisational policy.

Implementing Responsible Audio AI Policies

• Developing clear internal guidelines.
• Building robust accountability structures.
• Supporting transparent communication with stakeholders.

Summary and Next Steps