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Duration 7 hours
Course Outline
Foundations of Audio AI and Voice Data
- Mechanisms behind modern audio AI systems
- Categorization of voice and sound data gathered
- Typical applications across various industries
Privacy and Consent in Audio Data Acquisition
- Principles of informed consent in voice-enabled technologies
- Issues of incidental capture and bystander privacy
- Handling opt-in and opt-out regulatory requirements
GDPR and International Data Protection Standards
- Legal interpretations applicable to audio data
- Valid grounds for data processing
- Strategies for data minimization, retention, and rights administration
Ethical Considerations in Audio Surveillance
- Risks of improper use of voice data
- Workplace monitoring dynamics and power imbalances
- Striking a balance between innovation and diligent oversight
Bias, Equity, and Precision in Speech AI
- Origins of bias within speech recognition models
- Consequences for diverse linguistic and demographic populations
- Approaches to mitigating bias for equitable audio AI outcomes
Security and Data Protection Protocols
- Protecting audio data during storage and transmission
- Considerations regarding access controls and encryption
- Response strategies for audio data breaches
Vendor Evaluation and Procurement
- Criteria for assessing third-party audio AI providers
- Key inquiries for the procurement process
- Ensuring alignment with internal organizational policies
Establishing Responsible Audio AI Policies
- Creation of internal operational guidelines
- Establishing structures for accountability
- Facilitating transparent dialogue with stakeholders
Conclusion and Future Directions
Requirements
- Foundational knowledge of digital privacy principles
- Exposure to organizational compliance frameworks or IT policy procedures
- General familiarity with AI or data-centric systems
Target Audience
- Compliance professionals
- IT policy strategists
- Procurement specialists
