AI Standards: Organizational Transparency
In this course, a variety of elements are reviewed that can support or detract from achieving a goal of transparency at an organizational level. Ethical systems cannot be created in isolation of the organizational structures of the people creating them. Therefore, the elements that relate to organizational transparency are at least as important as those within technical systems.
The course includes the various factors that relate to transparency in organizations, minor differences that may lead to major differences in outcomes, and practical steps towards implementing more consistent and rigorous ethical organizational standards.
What you will learn:
- Discuss the factors that drive or inhibit the quality of transparency in organizations
- Recognize the minor differences which may lead to major differences in outcome
- Define the practical steps towards implementing more consistent and rigorous ethical organizational standards
This course is part of the following Course Program:
AI Standards: Roadmap for Ethical and Responsible Digital Environments
Courses included in this program:
Who Should Attend: Organization-based stakeholders, senior leadership, designers, engineers, producers, suppliers and marketers who design products, services, and systems that support end user privacy and personal data. Technical staff or educators who implement educational technologies.
Eleanor ‘Nell’ Watson started as an engineer teaching computer science and doing research on machine intelligence; she is a world-renowned-futurist thinker known for bridging the world of technology and humanity. She is a member of numerous societies and organizations and has been awarded several fellowships with several esteemed organizations, and Senior Membership within IEEE. Today she serves as a Senior Scientific Advisor to the Future Society at Harvard. As a faculty member at Singularity University, she teaches classes on artificial intelligence, the philosophy of technology and how extensions of human capacity drive emerging social trends. The findings of her research has been applied in healthcare in the form of a body measurement solution which, in turn, launched her entrepreneurial career via the company she founded named QuantaCorp.
Publication Year: 2020