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
Foundations of Ethical Conversational AI
- The historical evolution of conversational agents.
- Core ethical challenges within dialogue systems.
- Comparative analysis of Grok against other leading AI models.
Understanding Grok’s Architecture and Design Philosophy
- Model characteristics and interaction styles.
- Alignment strategies and underlying design principles.
- Strengths and known limitations within specific contexts.
Bias, Fairness, and Transparency Considerations
- Identifying and assessing bias in conversational outputs.
- Approaches to promoting fairness and inclusion.
- Challenges related to transparency and explainability.
Regulatory and Governance Frameworks
- Current and emerging global AI policies.
- Risk-based governance approaches.
- Oversight strategies for conversational agents.
Societal and Policy Implications
- The impact of conversational AI on public discourse.
- Ethical risks in high-stakes environments.
- Shaping responsible innovation ecosystems.
Evaluating Model Behaviour in Practice
- Scenario-based behaviour assessment.
- Identifying unsafe or undesirable outputs.
- Developing ethical evaluation criteria.
Future Directions of Conversational AI
- Long-term risks and technological trajectories.
- Grok’s role within next-generation conversational systems.
- Opportunities for interdisciplinary collaboration.
Strategic Planning for Ethical Deployment
- Building institutional readiness.
- Integrating ethics into development pipelines.
- Structured planning for responsible implementation.
Summary and Next Steps
Requirements
- A solid understanding of AI governance principles.
- Prior experience with machine learning or conversational AI.
- Familiarity with policy or regulatory frameworks.
Audience
- AI ethicists.
- Policymakers.
- AI researchers.
14 Hours
