AI Standards: Roadmap for Ethical and Responsible Digital Environments Course Program

Get artificial intelligence technology training from IEEE. A not-for-profit organization, IEEE is the world's largest technical professional organization dedicated to advancing technology for the benefit of humanity. These courses are designed to help engineers stay up-to-date on the latest technologies. Produced and vetted by leading experts, you can count on IEEE Continuing and Professional Education courses to equip you with the information you need to stay current in your field.

As artificial intelligence systems (AIS) continue to become prevalent across various industries—including healthcare, manufacturing, transportation, and finance, among others—it’s vital to keep in mind how to incorporate responsible AI best practices designed to protect customers, employees and all stakeholders in an organization’s value chain when leveraging new digital environments and the data driving all AIS.

In order for this technology to improve both society and organizations, Responsible AI must be created via ethically aligned design best practices through practical considerations ensuring equality, security, and privacy

This five-course artificial intelligence training program covers the following topics:

• Organizational Transparency
• Best Practices for Ethical Systems
• A Comprehensive Approach to Digital Ecosystems
• System Design Considerations for Data Privacy
• Configuring Systems for Privacy

Upon successful completion of AI Standards: Roadmap for Ethical and Responsible Digital Environments course program, your engineers will receive valuable CEUs/PDHs from IEEE that can be used to maintain engineering licenses.

 

 

For individual pricing, click here

The AI Standards: Roadmap for Ethical and Responsible Digital Environments online training program includes the following courses:

AI Standards: Organizational Transparency
Consider 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.

AI Standards: Best Practices for Ethical Systems
Explore factors that relate to transparency in systems, the difference in outcomes that those factors can create, as well as practical techniques that can be applied to encourage a greater quality of transparency in consistent and rigorous ethical systems.

AI Standards: A Comprehensive Approach to Digital Ecosystems
Explore a comprehensive and holistic approach for the responsible use and development of technology, and how the responsible use and development of technology fosters learning and wellness outcomes.

AI Standards: System Design Considerations for Data Privacy
Understand design considerations and how the use of data and the data lifecycle play a fundamental role in privacy design.

AI Standards: Configuring Systems for Privacy
Learn how privacy assessments integrate into software engineering and software development models with an emphasis on fundamentals.

 

 

For individual pricing, click here

IEEE has partnered with some of the top experts in machine intelligence, online safety, and data privacy.

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.

Dr. Marsali Hancock is recognized for her pioneering vision for youth protection in cyberspace; her leadership in shaping and distributing state-of-the-art, yet practical, countermeasures for online safety; and her relentless service to the most vulnerable in our information society. Ms. Hancock is a visiting scholar at Stanford University, Media X. She chairs the IEEE Standards for Child and Student Data Governance Working Group (7004). Ms. Hancock has sat on nearly 100 advisory boards including Google, AT&T, Comcast, Microsoft, Facebook, Yahoo, and Verizon to name a few. She has also won multiple awards for her endeavors including the IEEE CQR Chairman Award.

Matthew Silveira is the chair of the IEEE P7002 workgroup and serves on P7004 and P7005 as a workgroup member. He has served as adjunct faculty at the University of California Extension in Davis at the California State University of Extension in Sacramento and at the Los Rios Community College District teaching courses in information security, data privacy and system architecture. Currently, he is the president of Objective Business Solutions, a consulting firm that specializes in information security and privacy by design emphasizing healthcare, first responder communication systems and voting systems.