Description
- Foster a culture of ethical integrity and responsibility in AI initiatives.
- Gain competitive advantage through trust-building with customers and stakeholders.
- Mitigate risks associated with AI deployments, including legal, reputational, and operational risks.
- Enhance decision-making processes with a comprehensive understanding of ethical AI implications.
Modules
- Introduction to Ethical and Responsible AI
- AI Principles and Guidelines
- Developing AI Ethics Guidelines and Governance
- Stakeholder Engagement and Communication
- Techniques for Detecting and Mitigating Bias
- Legal and Regulatory Considerations in AI
- Human-Centered Approach to AI Development
- Engaging with the Community
- Recognizing Ethical Concerns
- Identifying and Addressing Issues
- Monitoring and Enhancing AI Models
- Case Studies: Applying Ethical AI
- Workshop: Constructing Your Ethical AI Framework
- Plan for Implementing Ethical AI
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