Generative Governance, Ethics, and Risk Management

Duration: 3 Hours

Format: Live Online Course led by Inês De Castro Almeida

Course Description:

This course offers a blend of theoretical knowledge and practical insights, aimed at enabling participants to effectively manage the ethical and governance complexities of Generative AI technologies.

Course Objectives:

1. Understanding the Landscape: Develop a foundational understanding of Generative AI technologies, focusing on their governance challenges and ethical considerations. Grasp the broader societal implications and the need for responsible AI development and deployment.
2. Ethical Frameworks and Principles: Delve into the ethical frameworks and principles necessary for the responsible use of Generative AI. Discuss issues like bias, privacy, transparency, and accountability.
3. Risk Assessment and Management: Learn to identify and manage risks associated with Generative AI. This includes inaccuracy, data security, misuse of AI technology, regulatory compliance, and public perception risks.
4. Governance Strategies: Explore effective governance strategies to ensure ethical AI use. Understand the roles of corporate governance, policy-making, and regulatory compliance in shaping responsible AI practices.
5. Case Studies and Real-World Scenarios: Engage with a variety of case studies that highlight both the pitfalls and successes in managing Generative AI ethics and governance. Analyze real-world scenarios to apply learned concepts.
6. Building an Ethical AI Culture: Discuss ways to foster an organizational culture that prioritizes ethical AI use, including training, stakeholder engagement, and continuous monitoring.

Target Audience:

This course is ideal for AI ethics professionals, risk managers, policy makers, legal advisors, and business leaders who are involved in the development, deployment, or governance of AI technologies.

Key Takeaways:

• Deep understanding of the ethical, governance, and risk management challenges posed by Generative AI.
• Knowledge of frameworks and strategies to address these challenges.
• Ability to assess and manage risks associated with the use of Generative AI.
• Insights from real-world case studies and scenarios.
• Strategies for building a responsible AI culture in organizations.

Join us in this essential course to equip yourself with the knowledge and skills to navigate the evolving landscape of Generative AI governance and ethics.

Inês de Castro Almeida is the Chief Transformation Officer at Now Next Later AI. With a wealth of experience spanning over 26 years, Inês held senior positions at companies such as Thoughtworks, Salesforce, and Publicis Sapient, where she advised hundreds of executive customers on digital- and technology-enabled Business Strategy and Transformation.

She is the author of several books including the AI guides: "Generative AI Transformation Blueprint", "Introduction to LLMs for Business Leaders: Responsible AI Strategy Beyond Fear and Hype," and "Artificial Intelligence Fundamentals for Business Leaders: Up to Date With Generative AI."

She is a regular speaker at industry events such as Gartner Symposium, SXSW, and ADAPT.