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Course Outline
Foundations of Ethical Conversational AI
- Historical evolution of conversational agents.
- Core ethical challenges in dialogue systems.
- Comparing Grok with other leading AI models.
Understanding Grok’s Architecture and Design Philosophy
- Model characteristics and interaction style.
- Alignment strategies and design principles.
- Strengths and known limitations in context.
Bias, Fairness, and Transparency Considerations
- Identifying and assessing bias in conversational outputs.
- Approaches to fairness and inclusion.
- Transparency and explainability challenges.
Regulatory and Governance Frameworks
- Current and emerging global AI policies.
- Risk-based governance approaches.
- Oversight strategies for conversational agents.
Societal and Policy Implications
- Impact of conversational AI on public discourse.
- Ethical risks in high-stakes environments.
- Shaping responsible innovation ecosystems.
Evaluating Model Behavior in Practice
- Scenario-based behavior assessment.
- Identifying unsafe or undesirable outputs.
- Developing ethical evaluation criteria.
Future Directions of Conversational AI
- Long-term risks and technological trajectories.
- Grok’s place in 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
- Understanding of AI governance principles.
- Experience with machine learning or conversational AI.
- Familiarity with policy or regulatory frameworks.
Target Audience
- AI ethicists.
- Policymakers.
- AI researchers.
14 Hours
