Thank you for sending your enquiry! One of our team members will contact you shortly.
Thank you for sending your booking! One of our team members will contact you shortly.
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.
- 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
Requirements
- A fundamental 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
