Ethics and Data Privacy in Audio AI Applications Training Course

Introduction to Audio AI and Voice Data

• The functioning of modern audio AI systems
• Categories of voice and sound data collected
• Common applications across various sectors

Privacy and Consent in Audio Data Collection

• Informed consent within voice-based technologies
• Unintentional capture and the privacy of bystanders
• Managing opt-in and opt-out requirements

GDPR and Global Data Protection Frameworks

• Legal definitions pertinent to audio data
• Lawful bases for data processing
• Data minimisation, retention policies, and rights management

Ethical Risks in Audio Surveillance

• Potential misuse of voice data
• Workplace monitoring and associated power asymmetries
• Balancing innovation with responsible oversight

Bias, Fairness, and Accuracy in Speech AI

• Sources of bias in speech recognition models
• Impact on diverse linguistic and demographic groups
• 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 pose during procurement
• Ensuring alignment with organisational policy

Implementing Responsible Audio AI Policies

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

Summary and Next Steps