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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
- Obtaining informed consent in voice-based technologies
- Unintentional capture and bystander privacy concerns
- Managing opt-in and opt-out requirements
GDPR and Global Data Protection Frameworks
- Legal definitions applicable to audio data
- Lawful bases for processing data
- Data minimization, retention policies, and rights management
Ethical Risks in Audio Surveillance
- Potential misuse of voice data
- Workplace monitoring and power dynamics
- 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
- Strategies to mitigate bias for equitable audio AI
Security and Data Protection Measures
- Safeguarding stored and transmitted audio data
- Access controls and encryption considerations
- Incident response protocols 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
