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Course Outline
Introduction to Audio AI and Voice Data
- How modern audio AI systems operate.
- Types of voice and sound data collected.
- Common applications across various sectors.
Privacy and Consent in Audio Data Collection
- Informed consent in voice-based technologies.
- Issues regarding unintentional capture and bystander privacy.
- Managing opt-in and opt-out requirements.
GDPR and Global Data Protection Frameworks
- Legal definitions pertinent to audio data.
- Lawful bases for processing.
- Data minimization, retention policies, and rights management.
Ethical Risks in Audio Surveillance
- Potential misuse of voice data.
- Workplace monitoring and power asymmetries.
- Balancing innovation with responsible oversight.
Bias, Fairness, and Accuracy in Speech AI
- Sources of bias in speech recognition models.
- Impact on different linguistic and demographic groups.
- Mitigation strategies for equitable audio AI.
Security and Data Protection Measures
- Safeguarding stored and transmitted audio data.
- Access controls and encryption considerations.
- Incident response for audio data breaches.
Procurement and Vendor Assessment
- Evaluating third-party audio AI providers.
- Key questions to ask during procurement.
- Ensuring alignment with organizational policy.
Implementing Responsible Audio AI Policies
- Developing internal guidelines.
- Building accountability structures.
- Supporting transparent communication with stakeholders.
Summary and Next Steps
Requirements
- A foundational understanding of digital privacy concepts.
- Experience with organizational compliance or IT policy processes.
- Familiarity with general AI or data-driven systems.
Target Audience
- Compliance officers.
- IT policy makers.
- Procurement teams.
7 Hours
