About this course
Our live, online AI Ethics & Governance course provides a comprehensive understanding of the ethical implications and governance requirements of using AI in business. You’ll learn to implement responsible AI practices, ensure compliance with regulations, and manage risks effectively. By the end of the course, you’ll be equipped with the knowledge and tools to lead ethical AI initiatives and maintain trust and accountability in your organization.
Learning outputs
Understand AI ethics
Gain a deep understanding of ethical considerations in AI development and deployment.
Ensure responsible AI use
Learn how to align AI practices with societal and organizational values.
Navigate compliance frameworks
Stay informed about evolving AI regulations and compliance standards.
Mitigate AI risks
Develop strategies to identify, assess, and address ethical and operational risks.
Build trust in AI initiatives
Create transparent and accountable AI governance structures.
Course overview & classes
Request syllabusCourse Overview
This live, online course is perfect for business leaders, strategists, and innovators who want to ensure ethical AI usage and compliance within their organizations. Delivered across two focused classes, the program provides actionable insights into responsible AI use and effective governance practices.
Sign up now to lead the way in ethical AI innovation and governance.
Class 1: Responsible AI Use in Business
Understanding AI Ethics
- Foundations of AI Ethics: Explore the core principles of fairness, accountability, transparency, and inclusivity.
- Ethical Decision-Making: Learn frameworks for evaluating the ethical implications of AI applications.
Ensuring Responsible Deployment
- Bias Mitigation in AI: Discover techniques for identifying and reducing bias in AI algorithms and datasets.
- Social Impact of AI: Understand how AI affects different societal groups and how to promote equitable outcomes.
Creating Ethical AI Policies
- Policy Development: Learn how to draft and implement AI ethics policies in your organization.
- Ethical Oversight: Explore methods for establishing oversight committees and accountability mechanisms.
Building Trust with AI
- Transparent Communication: Learn how to explain AI decision-making processes to stakeholders.
- Trustworthy AI Systems: Develop strategies to ensure AI outputs are interpretable and reliable.
Class 2:- AI Compliance & Risk Management
Navigating AI Regulations
- Regulatory Landscape: Explore current and emerging AI regulations, standards, and guidelines.
- Compliance Frameworks: Learn how to align AI initiatives with industry-specific and global compliance requirements.
Managing AI Risks
- Risk Assessment Tools: Use AI-specific frameworks to identify and evaluate potential risks.
- Operational Risks: Explore strategies for addressing risks related to performance, security, and system failures.
Governance Structures for AI
- Accountability Mechanisms: Develop structures to monitor and audit AI systems for compliance and ethical use.
- AI Governance Frameworks: Learn how to implement comprehensive governance frameworks that balance innovation with responsibility.
Sustaining Ethical AI Practices
- Continuous Monitoring: Use AI tools to track compliance and adapt to evolving regulations.
- Long-Term Strategies: Develop a roadmap for maintaining ethical AI use as technologies and regulations change.
Driving Organizational Change
- Promoting Ethical Culture: Encourage an organizational mindset that prioritizes ethical and compliant AI practices.
- Training and Awareness: Build internal capacity by training teams on ethical AI and governance.
Class schedule and times
Times are shown in
- Monday
Class 1: Responsible AI Use in Business
11:00 - 12:00
- Tuesday
- Wednesday
Class 2:- AI Compliance & Risk Management
11:00 - 12:00
- Thursday
- Friday
Course Trainers
Learn from our skilled trainers, with hands-on experience from the front-line.
