Ethics and Data Privacy in Audio AI Applications Training Course

Introduction to Audio AI and Voice Data

• Understanding the functionality of modern audio AI systems
• Classifying the types of voice and sound data gathered
• Reviewing common applications across various sectors

Privacy and Consent in Audio Data Collection

• Implementing informed consent in voice-based technologies
• Addressing unintentional capture and the privacy of bystanders
• Handling opt-in and opt-out requirements effectively

GDPR and Global Data Protection Frameworks

• Interpreting legal definitions applicable to audio data
• Establishing lawful bases for data processing
• Managing data minimisation, retention, and user rights

Ethical Risks in Audio Surveillance

• Identifying potential misuse of voice data
• Examining workplace monitoring and power dynamics
• Striking a balance between innovation and responsible oversight

Bias, Fairness, and Accuracy in Speech AI

• Tracing the origins of bias within speech recognition models
• Analysing the impact on diverse linguistic and demographic groups
• Applying mitigation strategies for equitable audio AI

Security and Data Protection Measures

• Protecting stored and transmitted audio data
• Considering access controls and encryption standards
• Responding to incidents involving audio data breaches

Procurement and Vendor Assessment

• Evaluating third-party audio AI providers
• Formulating key questions for the procurement process
• Ensuring alignment with internal organisational policies

Implementing Responsible Audio AI Policies

• Drafting internal guidelines
• Establishing clear accountability structures
• Fostering transparent communication with stakeholders

Summary and Next Steps