AI Ethics in Action: Building Trustworthy and Fair AI Systems

Artificial Intelligence Courses, On Campus Courses

Introduction:

As artificial intelligence (AI) continues to permeate every aspect of our professional and personal lives, the ethical implications of this powerful technology have become a critical concern. This course is designed to provide public and private sector professionals with a deep understanding of the ethical challenges posed by AI and the knowledge to implement responsible AI practices in their organizations. Participants will explore the intersection of AI technology, ethics, and governance, gaining insights into how ethical considerations can guide the development and deployment of AI systems.

The significance of this course lies in its focus on practical ethical decision-making within the context of AI. As AI systems become more autonomous and complex, the need for clear ethical frameworks and guidelines becomes paramount to ensure these technologies are used in ways that benefit society while minimizing harm. Through interactive discussions, case studies, and hands-on exercises, this course will empower you to lead ethically in the AI-driven world, fostering trust and accountability in the technologies that are shaping our future.

Objective

To equip professionals with the necessary skills to identify and address ethical issues in AI, foster responsible AI use within their organizations, and lead the development of AI systems with an ethical, human-centred approach.

Target Audience

C-suite executives and business leaders involved in AI strategy
AI product managers and team leaders
Data scientists and engineers working on AI projects
Public and Private Sector policy makers and regulators overseeing AI technology
Ethicists and compliance officers in tech-focused organizations

Benefits Of Taking This Course

Gain a comprehensive understanding of the ethical dimensions of AI.
Learn to identify and mitigate ethical risks in AI projects.
Develop strategies to incorporate ethical considerations into AI design and deployment.
Enhance your organization’s reputation by championing responsible AI.
Stay ahead of regulatory trends and prepare for future governance frameworks.

Content

Day 1: Foundations of AI Ethics

Introduction to AI ethics: Key concepts and importance
Historical perspective: Ethics in technology and the rise of AI
Understanding AI bias and discrimination
Workshop: Assessing ethical implications in AI use cases

Day 2: Ethical AI Design and Development

Principles of ethical AI design: Public vs Private Sector
Tools and techniques for ethical AI development
Incorporating transparency and explainability in AI systems
Group activity: Designing an ethical AI prototype

Day 3: Governance and Regulation of AI

Overview of AI governance frameworks
National and international regulations on AI
Corporate responsibility and self-regulation in AI
Case study analysis: Regulatory challenges and successes

Day 4: Implementing Ethical AI in Organizations

Building an ethical AI culture in your organization
Ethical decision-making processes for AI
Role of leadership in ethical AI implementation
Role-play exercise: Handling ethical dilemmas in AI scenarios

Day 5: The Future of Ethical AI

Emerging trends in AI and their ethical implications
The role of public discourse and media in shaping AI ethics
Preparing for the future: Skills and competencies for ethical AI leadership
Panel discussion: Visions for the future of ethical AI

This course is structured to be dynamic and engaging, with a balance of theoretical exploration and practical application. By the end of the five days, participants will have a robust framework for understanding and addressing the ethical challenges of AI, positioning them as leaders in the responsible use of technology.