Ethics for AI System Design

How this course will help you?

The target audience for IEEE 7000 includes a broad range of professionals and organizations involved in the system design process. Here are some of the key groups:

• System Engineers and Designers: Individuals who are directly involved in the creation and development of systems, ensuring that ethical considerations are integrated into the engineering process.
• Management Teams: Leaders and managers including Project Managers, Business Analyst who oversee the development of systems and are responsible for incorporating ethical values into the design and operational strategies.
• Ethicists and Value Leads: Professionals who specialize in Data protection or ethics and are tasked with bridging the gap between engineering, management, and ethical values in a constructive way.
• Regulatory Bodies: Organizations that set standards and regulations for system design, particularly those that are concerned with ethical implications and societal impact.
• End Users and Customers: While not directly involved in the design process, the end users’ values and ethical concerns are central to the IEEE 7000 process, and their feedback and defining the requirements is crucial for value-based engineering.
• Academics and Researchers: Individuals in academia who study and contribute to the field of ethical system design, and who can use IEEE 7000 as a framework for teaching and research.
• Policy Makers: Government officials and policy makers who are interested in promoting ethical standards in technology development and can use IEEE 7000 to inform policy decisions.
• Industry Associations: Groups that represent the interests of specific industries and can advocate for the adoption of ethical standards like IEEE 7000 among their members.
• Technology Innovators: Companies and startups that aim to lead in innovation while ensuring that their products and services align with ethical standards and societal values.

Overall, IEEE 7000 is designed to be applicable across various industries and sectors, providing a universal framework for addressing ethical concerns in system design.

1. AI Ethics Introduction: Kickstart learning the essentials of AI ethics and their critical role in system design.

2. IEEE 7000 Overview: Dive into the IEEE 7000 standard, exploring its core principles and practical applications.

3. Ethical Value Engineering Teams: Uncover the pivotal roles that drive ethical considerations in project teams.

4. Operations & Context Exploration: Learn how to effectively set the stage for ethical design with a thorough operations and context analysis.

5. Ethical Value Elicitation: Gain insights into prioritizing ethical values in the engineering process.

6. Ethical Requirements Definition: Delve into the methodologies for defining clear and actionable ethical requirements.

7. Ethical Risk-Based Design: Navigate the complexities of risk management through an ethical lens.

8. Transparency Management: Understand the importance of transparency in design and how to manage it effectively.

9. Use Case & Assessment: Conclude your learning with practical use cases and assessments to solidify your understanding.