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코스 개요
Introduction to Audio AI and Voice Data
- How modern audio AI systems function
- Types of voice and sound data collected
- Common applications across sectors
Privacy and Consent in Audio Data Collection
- Informed consent in voice-based technologies
- Unintentional capture and bystander privacy
- Managing opt-in and opt-out requirements
GDPR and Global Data Protection Frameworks
- Legal definitions relevant to audio data
- Lawful bases for processing
- Data minimization, retention, 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
- 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
요건
- An understanding of basic digital privacy concepts
- Experience with organizational compliance or IT policy processes
- Familiarity with general AI or data-driven systems
Audience
- Compliance officers
- IT policy makers
- Procurement teams
7 시간
